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Bukara-Radujkovic G, Miljkovic V. Glycemic variability through the perspective of the glycemia risk index and time in range and their association with glycated hemoglobin A1c in pediatric patients on sensor-augmented pump therapy. Front Endocrinol (Lausanne) 2024; 15:1388245. [PMID: 38957442 PMCID: PMC11217307 DOI: 10.3389/fendo.2024.1388245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 06/04/2024] [Indexed: 07/04/2024] Open
Abstract
Introduction From the introduction of continuous glucose monitoring (CGM) in treatments of type 1 diabetes, particularly its integration with insulin pumps, there has been a quest for new parameters that describe optimal glycemic control. As of the consensus reached in 2019, the ambulatory glucose profile (AGP) has become the standard, with time in range (TIR) emerging as a fundamental parameter for metabolic control assessment. However, with technological advancements, new parameters, such as the glycemia risk index (GRI), have been introduced and clinically utilized. Therefore, exploring the relationships between traditional and novel parameters to understand metabolic control comprehensively is imperative. Materials and methods This study was conducted at the Pediatric Clinic of the University Hospital of the Republic of Srpska Banja Luka between January and July 2023. The participants were randomly selected, with the inclusion criteria specifying an age greater than eight years and a diabetes type 1 duration exceeding two years. All participants were required to use a sensor-augmented insulin pump for the next three months (90 days), irrespective of prior use, with the suspend-before-low option activated. Results Of the 35 participants, 30 completed the study, 14 (46.7%) of whom were male. The mean age of the subjects was 14.90 ± 2.88 years, and the mean duration of diabetes was 7.83 ± 4.76 years. Over the 90-day period, HbA1c increased to an average of 7.31%. The analysis revealed significant effects of TIR (β=-0.771) and GRI (β=0.651) on HbA1c. Furthermore, GRI and TIR strongly correlated (β=-0.953). Discussion and conclusion New parameters generated from the ambulatory glucose profile (AGP) can help clinicians create a complete picture of a patient's metabolic control in relation to HbA1c levels. Additionally, the GRI is a mathematically tailored parameter that incorporates all components of the ambulatory glucose profile and demonstrates strong correlations with laboratory-measured HbA1c and TIR. The GRI potentially can become a valuable statistical parameter for evaluating and managing patients in routine clinical practice.
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Affiliation(s)
- Gordana Bukara-Radujkovic
- Pediatric Clinic, University Clinical Center of the Republic of Srpska, Banja Luka, Bosnia and Herzegovina
- Pediatric Department, Faculty of Medicine, University of Banja Luka, Banja Luka, Bosnia and Herzegovina
| | - Vesna Miljkovic
- Pediatric Clinic, University Clinical Center of the Republic of Srpska, Banja Luka, Bosnia and Herzegovina
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2
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Villa-Tamayo MF, Colmegna P, Breton MD. Integration of a Safety Module to Prevent Rebound Hypoglycemia in Closed-Loop Artificial Pancreas Systems. J Diabetes Sci Technol 2024; 18:318-323. [PMID: 37966051 PMCID: PMC10973857 DOI: 10.1177/19322968231212205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
BACKGROUND With automated insulin delivery (AID) systems becoming widely adopted in the management of type 1 diabetes, we have seen an increase in occurrences of rebound hypoglycemia or generated hypoglycemia induced by the controller's response to rapid glucose rises following rescue carbohydrates. Furthermore, as AID systems aim to enable complete automation of prandial control, algorithms are designed to react even more strongly to glycemic rises. This work introduces a rebound hypoglycemia prevention layer (HypoSafe) that can be easily integrated into any AID system. METHODS HypoSafe constrains the maximum permissible insulin delivery dose based on the minimum glucose reading from the previous hour and the current glucose level. To demonstrate its efficacy, we integrated HypoSafe into the latest University of Virginia (UVA) AID system and simulated two scenarios using the 100-adult cohort of the UVA/Padova T1D simulator: a nominal case including three unannounced meals, and another case where hypoglycemia was purposely induced by an overestimated manual bolus. RESULTS In both simulation scenarios, rebound hypoglycemia events were reduced with HypoSafe (nominal: from 39 to 0, hypo-induced: from 55 to 7) by attenuating the commanded basal (nominal: 0.27U vs. 0.04U, hypo-induced: 0.27U vs. 0.03U) and bolus (nominal: 1.02U vs. 0.05U, hypo-induced: 0.43U vs. 0.02U) within the 30-minute interval after treating a hypoglycemia event. No clinically significant changes resulted for time in the range of 70 to 180 mg/dL or above 180 mg/dL. CONCLUSION HypoSafe was shown to be effective in reducing rebound hypoglycemia events without affecting achieved time in range when combined with an advanced AID system.
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Affiliation(s)
| | - Patricio Colmegna
- Center for Diabetes Technology,
University of Virginia, Charlottesville, VA, USA
| | - Marc D. Breton
- Center for Diabetes Technology,
University of Virginia, Charlottesville, VA, USA
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3
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Guerlich K, Patro-Golab B, Dworakowski P, Fraser AG, Kammermeier M, Melvin T, Koletzko B. Evidence from clinical trials on high-risk medical devices in children: a scoping review. Pediatr Res 2024; 95:615-624. [PMID: 37758865 PMCID: PMC10899114 DOI: 10.1038/s41390-023-02819-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 08/31/2023] [Accepted: 09/03/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Meeting increased regulatory requirements for clinical evaluation of medical devices marketed in Europe in accordance with the Medical Device Regulation (EU 2017/745) is challenging, particularly for high-risk devices used in children. METHODS Within the CORE-MD project, we performed a scoping review on evidence from clinical trials investigating high-risk paediatric medical devices used in paediatric cardiology, diabetology, orthopaedics and surgery, in patients aged 0-21 years. We searched Medline and Embase from 1st January 2017 to 9th November 2022. RESULTS From 1692 records screened, 99 trials were included. Most were multicentre studies performed in North America and Europe that mainly had evaluated medical devices from the specialty of diabetology. Most had enrolled adolescents and 39% of trials included both children and adults. Randomized controlled trials accounted for 38% of the sample. Other frequently used designs were before-after studies (21%) and crossover trials (20%). Included trials were mainly small, with a sample size <100 participants in 64% of the studies. Most frequently assessed outcomes were efficacy and effectiveness as well as safety. CONCLUSION Within the assessed sample, clinical trials on high-risk medical devices in children were of various designs, often lacked a concurrent control group, and recruited few infants and young children. IMPACT In the assessed sample, clinical trials on high-risk medical devices in children were mainly small, with variable study designs (often without concurrent control), and they mostly enrolled adolescents. We provide a systematic summary of methodologies applied in clinical trials of medical devices in the paediatric population, reflecting obstacles in this research area that make it challenging to conduct adequately powered randomized controlled trials. In view of changing European regulations and related concerns about shortages of high-risk medical devices for children, our findings may assist competent authorities in setting realistic requirements for the evidence level to support device conformity certification.
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Affiliation(s)
- Kathrin Guerlich
- LMU-Ludwig Maximilians Universität Munich, Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital, Munich, Germany
- Child Health Foundation - Stiftung Kindergesundheit, c/o Dr. von Hauner Children's Hospital, Munich, Germany
| | - Bernadeta Patro-Golab
- LMU-Ludwig Maximilians Universität Munich, Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital, Munich, Germany
| | | | - Alan G Fraser
- Department of Cardiology, University Hospital of Wales, Cardiff, Wales, UK
| | - Michael Kammermeier
- LMU-Ludwig Maximilians Universität Munich, Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital, Munich, Germany
| | - Tom Melvin
- Department of Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Berthold Koletzko
- LMU-Ludwig Maximilians Universität Munich, Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital, Munich, Germany.
- Child Health Foundation - Stiftung Kindergesundheit, c/o Dr. von Hauner Children's Hospital, Munich, Germany.
- European Academy of Paediatrics, Brussels, Belgium.
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4
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Duckworth C, Guy MJ, Kumaran A, O’Kane AA, Ayobi A, Chapman A, Marshall P, Boniface M. Explainable Machine Learning for Real-Time Hypoglycemia and Hyperglycemia Prediction and Personalized Control Recommendations. J Diabetes Sci Technol 2024; 18:113-123. [PMID: 35695284 PMCID: PMC10899844 DOI: 10.1177/19322968221103561] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The occurrences of acute complications arising from hypoglycemia and hyperglycemia peak as young adults with type 1 diabetes (T1D) take control of their own care. Continuous glucose monitoring (CGM) devices provide real-time glucose readings enabling users to manage their control proactively. Machine learning algorithms can use CGM data to make ahead-of-time risk predictions and provide insight into an individual's longer term control. METHODS We introduce explainable machine learning to make predictions of hypoglycemia (<70 mg/dL) and hyperglycemia (>270 mg/dL) up to 60 minutes ahead of time. We train our models using CGM data from 153 people living with T1D in the CITY (CGM Intervention in Teens and Young Adults With Type 1 Diabetes)survey totaling more than 28 000 days of usage, which we summarize into (short-term, medium-term, and long-term) glucose control features along with demographic information. We use machine learning explanations (SHAP [SHapley Additive exPlanations]) to identify which features have been most important in predicting risk per user. RESULTS Machine learning models (XGBoost) show excellent performance at predicting hypoglycemia (area under the receiver operating curve [AUROC]: 0.998, average precision: 0.953) and hyperglycemia (AUROC: 0.989, average precision: 0.931) in comparison with a baseline heuristic and logistic regression model. CONCLUSIONS Maximizing model performance for glucose risk prediction and management is crucial to reduce the burden of alarm fatigue on CGM users. Machine learning enables more precise and timely predictions in comparison with baseline models. SHAP helps identify what about a CGM user's glucose control has led to predictions of risk which can be used to reduce their long-term risk of complications.
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Affiliation(s)
- Christopher Duckworth
- Electronics and Computer Science, IT Innovation Centre, University of Southampton, Southampton, UK
| | - Matthew J. Guy
- Department of Medical Physics, University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Human-Computer Interaction for Health, University of Bristol, Bristol, UK
| | - Anitha Kumaran
- Child Health, Department of Endocrinology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Aisling Ann O’Kane
- Human-Computer Interaction for Health, University of Bristol, Bristol, UK
- UCL Interaction Centre, University College London, London, UK
| | - Amid Ayobi
- Human-Computer Interaction for Health, University of Bristol, Bristol, UK
| | - Adriane Chapman
- Electronics and Computer Science, University of Southampton, Southampton, UK
| | - Paul Marshall
- Human-Computer Interaction for Health, University of Bristol, Bristol, UK
- UCL Interaction Centre, University College London, London, UK
| | - Michael Boniface
- Electronics and Computer Science, IT Innovation Centre, University of Southampton, Southampton, UK
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5
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Nandam N, Thung S, Venkatesh KK, Gabbe S, Ma J, Peng J, Dungan K, Buschur EO. Tandem T:Slim X2 Insulin Pump Use in Clinical Practice Among Pregnant Individuals With Type 1 Diabetes: A Retrospective Observational Cohort Study. Cureus 2024; 16:e52369. [PMID: 38361690 PMCID: PMC10868538 DOI: 10.7759/cureus.52369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/15/2024] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND Insulin pump use is increasing in frequency among pregnant individuals with type 1 diabetes (T1D). Automated insulin delivery (AID) technologies have not been studied extensively in pregnancy. METHOD We present a retrospective case series of eight individuals with T1D who used the Tandem t:slim X2 insulin pump (Tandem Diabetes Care, Inc., CA, USA) during pregnancy. Weekly continuous glucose monitor and insulin pump data were analyzed from electronic medical records and data-sharing portals. Safety, glycemic control, and pregnancy outcomes were examined with both the control IQ (CIQ) and basal IQ (BIQ) algorithms. RESULTS Six CIQ and two BIQ users were studied. The mean glycated hemoglobin (A1C) during pregnancy was 6.1%, and the average time in pregnancy-recommended glycemic range (TIR; 63-140mg/dL) was 67.9%. There were no instances of diabetic ketoacidosis or severe hypoglycemia. CIQ users had a higher mean sensor glucose (127.6 mg/dL) compared to BIQ participants (118.4 mg/dL). However, the average time below range (<63 mg/dL) was 6.1% in BIQ participants compared to 1.5% in CIQ participants. CIQ participants used several strategies to achieve glycemic targets, including daytime use of sleep activity. An increased basal-to-bolus insulin ratio was negatively correlated with TIR (r=-0.415). CONCLUSIONS Tandem t:slim X2 insulin pumps were safely used during pregnancy in eight individuals with T1D, with variable success in achieving recommended glycemic targets. Further research is needed to understand differences in CIQ and BIQ use in pregnancy. AID device manufacturers must additionally develop further methods to target lower glucose for pregnant users.
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Affiliation(s)
- Neeharika Nandam
- Department of Endocrinology, Diabetes, and Metabolism, Cleveland Clinic, Cleveland, USA
| | - Stephen Thung
- Division of Maternal Fetal-Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, Bridgeport, USA
| | - Kartik K Venkatesh
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Ohio State University Wexner Medical Center, Columbus, USA
| | - Steven Gabbe
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Ohio State University Wexner Medical Center, Columbus, USA
| | - Jianing Ma
- Center for Biostatistics, Ohio State University Wexner Medical Center, Columbus, USA
| | - Jing Peng
- Center for Biostatistics, Ohio State University Wexner Medical Center, Columbus, USA
| | - Kathleen Dungan
- Division of Endocrinology, Diabetes, and Metabolism, Ohio State University Wexner Medical Center, Columbus, USA
| | - Elizabeth O Buschur
- Division of Endocrinology, Diabetes, and Metabolism, Ohio State University Wexner Medical Center, Columbus, USA
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Lakshman R, Boughton C, Hovorka R. The changing landscape of automated insulin delivery in the management of type 1 diabetes. Endocr Connect 2023; 12:e230132. [PMID: 37289734 PMCID: PMC10448576 DOI: 10.1530/ec-23-0132] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 06/08/2023] [Indexed: 06/10/2023]
Abstract
Automated insulin delivery systems, also known as closed-loop or 'artificial pancreas' systems, are transforming the management of type 1 diabetes. These systems consist of an algorithm which responds to real-time glucose sensor levels by automatically modulating insulin delivery through an insulin pump. We review the rapidly changing landscape of automated insulin-delivery systems over recent decades, from initial prototypes to the different hybrid closed-loop systems commercially available today. We discuss the growing body of clinical trials and real-world evidence demonstrating their glycaemic and psychosocial benefits. We also address future directions in automated insulin delivery such as dual-hormone systems and adjunct therapy as well as the challenges around ensuring equitable access to closed-loop technology.
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Affiliation(s)
- Rama Lakshman
- Wellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Charlotte Boughton
- Wellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
- Cambridge University Hospitals NHS Foundation Trust, Wolfson Diabetes and Endocrine Clinic, Cambridge, UK
| | - Roman Hovorka
- Wellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
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7
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Hansen KW, Bibby BM. Rebound Hypoglycemia and Hyperglycemia in Type 1 Diabetes. J Diabetes Sci Technol 2023:19322968231168379. [PMID: 37138541 DOI: 10.1177/19322968231168379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
AIMS The aim was to investigate rebound hypoglycemic and hyperglycemic events, and describe their relation to other glycemic metrics. METHODS Data from intermittently scanned continuous glucose monitoring were downloaded for 90 days for 159 persons with type 1 diabetes. A hypoglycemic event was defined as glucose <3.9 mmol/l for at least two 15-minute periods. Rebound hypoglycemia (Rhypo) was a hypoglycemic event preceded by glucose >10.0 mmol/l within 120 minutes and rebound hyperglycemia (Rhyper) was hypoglycemia followed by glucose >10.0 mmol/l within 120 minutes. RESULTS A total of 10 977 hypoglycemic events were identified of which 3232 (29%) were Rhypo and 3653 (33%) were Rhyper, corresponding to a median frequency of 10.1, 2.5, and 3.0 events per person/14 days. For 1267 (12%) of the cases, Rhypo and Rhyper coexisted. The mean peak glucose was 13.0 ± 1.6 mmol/l before Rhypo; 12.8 ± 1.1 mmol/l in Rhyper. The frequency of Rhyper was significantly (P < .001) correlated with Rhypo (Spearman's rho 0.84), glucose coefficient of variation (0.78), and time below range (0.69) but not with time above range (0.12, P = .13). CONCLUSIONS The strong correlation between Rhyper and Rhypo suggests an individual behavioral characteristic toward intensive correction of glucose excursions.
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Affiliation(s)
- Klavs W Hansen
- University Research Clinic for Innovative Patient Pathways, Diagnostic Centre, Silkeborg Regional Hospital, Silkeborg, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark
| | - Bo M Bibby
- Biostatistical Advisory Service, Faculty of Health, Aarhus University, Aarhus N, Denmark
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8
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Andreasen CR, Andersen A, Hagelqvist PG, Maytham K, Lauritsen JV, Engberg S, Faber J, Pedersen-Bjergaard U, Knop FK, Vilsbøll T. Sustained heart rate-corrected QT prolongation during recovery from hypoglycaemia in people with type 1 diabetes, independently of recovery to hyperglycaemia or euglycaemia. Diabetes Obes Metab 2023; 25:1566-1575. [PMID: 36752677 DOI: 10.1111/dom.15005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 01/27/2023] [Accepted: 02/02/2023] [Indexed: 02/09/2023]
Abstract
AIM To investigate changes in cardiac repolarization abnormalities (heart rate-corrected QT [QTc ] [primary endpoint], T-wave abnormalities) and heart-rate variability measures in people with type 1 diabetes during insulin-induced hypoglycaemia followed by recovery hyperglycaemia versus euglycaemia. METHODS In a randomized crossover study, 24 individuals with type 1 diabetes underwent two experimental clamps with three steady-state phases during electrocardiographic monitoring: (1) a 45-minute euglycaemic phase (5-8 mmol/L), (2) a 60-minute insulin-induced hypoglycaemic phase (2.5 mmol/L), and (3) 60-minute recovery in either hyperglycaemia (20 mmol/L) or euglycaemia (5-8 mmol/L). RESULTS All measured markers of arrhythmic risk indicated increased risk during hypoglycaemia. These findings were accompanied by a decrease in vagal tone during both hyperglycaemia and euglycaemia clamps. Compared with baseline, the QTc interval increased during hypoglycaemia, and 63% of the participants exhibited a peak QTc of more than 500 ms. The prolonged QTc interval was sustained during both recovery phases with no difference between recovery hyperglycaemia versus euglycaemia. During recovery, no change from baseline was observed in heart-rate variability measures. CONCLUSIONS In people with type 1 diabetes, insulin-induced hypoglycaemia prolongs cardiac repolarization, which is sustained during a 60-minute recovery period independently of recovery to hyperglycaemia or euglycaemia. Thus, vulnerability to serious cardiac arrhythmias and sudden cardiac death may extend beyond a hypoglycaemic event, regardless of hyperglycaemic or euglycaemic recovery.
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Affiliation(s)
- Christine R Andreasen
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Andreas Andersen
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Per G Hagelqvist
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Kaisar Maytham
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Julius V Lauritsen
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Susanne Engberg
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Jens Faber
- Department of Medicine, Herlev Hospital, University of Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ulrik Pedersen-Bjergaard
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Endocrinology and Nephrology, Nordsjaellands Hospital Hillerød, University of Copenhagen, Hillerød, Denmark
| | - Filip K Knop
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Department of Medicine, Herlev Hospital, University of Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tina Vilsbøll
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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9
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The Advanced Diabetes Technologies for Reduction of the Frequency of Hypoglycemia and Minimizing the Occurrence of Severe Hypoglycemia in Children and Adolescents with Type 1 Diabetes. J Clin Med 2023; 12:jcm12030781. [PMID: 36769430 PMCID: PMC9917934 DOI: 10.3390/jcm12030781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 01/09/2023] [Accepted: 01/17/2023] [Indexed: 01/20/2023] Open
Abstract
Hypoglycemia is an often-observed acute complication in the management of children and adolescents with type 1 diabetes. It causes inappropriate glycemic outcomes and may impair the quality of life in the patients. Severe hypoglycemia with cognitive impairment, such as a convulsion and coma, is a lethal condition and is associated with later-onset cognitive impairment and brain-structural abnormalities, especially in young children. Therefore, reducing the frequency of hypoglycemia and minimizing the occurrence of severe hypoglycemia are critical issues in the management of children and adolescents with type 1 diabetes. Advanced diabetes technologies, including continuous glucose monitoring and sensor-augmented insulin pumps with low-glucose suspension systems, can reduce the frequency of hypoglycemia and the occurrence of severe hypoglycemia without aggravating glycemic control. The hybrid closed-loop system, an automated insulin delivery system, must be the most promising means to achieve appropriate glycemic control with preventing severe hypoglycemia. The use of these advanced diabetes technologies could improve glycemic outcomes and the quality of life in children and adolescents with type 1 diabetes.
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10
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Abraham MB, Karges B, Dovc K, Naranjo D, Arbelaez AM, Mbogo J, Javelikar G, Jones TW, Mahmud FH. ISPAD Clinical Practice Consensus Guidelines 2022: Assessment and management of hypoglycemia in children and adolescents with diabetes. Pediatr Diabetes 2022; 23:1322-1340. [PMID: 36537534 PMCID: PMC10107518 DOI: 10.1111/pedi.13443] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 10/27/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Mary B Abraham
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia.,Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia.,Discipline of Pediatrics, Medical School, The University of Western Australia, Perth, Australia
| | - Beate Karges
- Division of Endocrinology and Diabetes, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Klemen Dovc
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children's Hospital, Ljubljana, Slovenia, and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Diana Naranjo
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Ana Maria Arbelaez
- Division of Endocrinology and Diabetes, Department of Pediatrics, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Joyce Mbogo
- Department of Pediatric and Child Health, Aga Khan University Hospital, Nairobi, Kenya
| | - Ganesh Javelikar
- Department of Endocrinology and Diabetes, Max Super Speciality Hospital, New Delhi, India
| | - Timothy W Jones
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia.,Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia.,Discipline of Pediatrics, Medical School, The University of Western Australia, Perth, Australia
| | - Farid H Mahmud
- Division of Endocrinology, Department of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, Canada
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11
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Al-Beltagi M, Saeed NK, Bediwy AS, Elbeltagi R. Insulin pumps in children - a systematic review. World J Clin Pediatr 2022; 11:463-484. [PMID: 36439904 PMCID: PMC9685680 DOI: 10.5409/wjcp.v11.i6.463] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/02/2022] [Accepted: 09/22/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Insulin pump therapy is a real breakthrough in managing diabetes Mellitus, particularly in children. It can deliver a tiny amount of insulin and decreases the need for frequent needle injections. It also helps to maintain adequate and optimal glycemic control to reduce the risk of metabolic derangements in different tissues. Children are suitable candidates for pump therapy as they need a more freestyle and proper metabolic control to ensure adequate growth and development. Therefore, children and their caregivers should have proper education and training and understand the proper use of insulin pumps to achieve successful pump therapy. The pump therapy continuously improves to enhance its performance and increase its simulation of the human pancreas. Nonetheless, there is yet a long way to reach the desired goal.
AIM To review discusses the history of pump development, its indications, types, proper use, special conditions that may enface the children and their families while using the pump, its general care, and its advantages and disadvantages.
METHODS We conducted comprehensive literature searches of electronic databases until June 30, 2022, related to pump therapy in children and published in the English language.
RESULTS We included 118 articles concerned with insulin pumps, 61 were reviews, systemic reviews, and meta-analyses, 47 were primary research studies with strong design, and ten were guidelines.
CONCLUSION The insulin pump provides fewer needles and can provide very tiny insulin doses, a convenient and more flexible way to modify the needed insulin physiologically, like the human pancreas, and can offer adequate and optimal glycemic control to reduce the risk of metabolic derangements in different tissues.
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Affiliation(s)
- Mohammed Al-Beltagi
- Department of Pediatrics, Faculty of Medicine, Tanta University, Tanta 31511, Algharbia, Egypt
- Department of Pediatrics, University Medical Center, King Abdulla Medical City, Arabian Gulf University, Manama 26671, Manama, Bahrain
- Department of Pediatrics, University Medical Center, Dr. Sulaiman Al Habib Medical Group, Manama, Bahrain, Manama 26671, Manama, Bahrain
| | - Nermin Kamal Saeed
- Medical Microbiology Section, Department of Pathology, Salmaniya Medical Complex, Ministry of Health, Kingdom of Bahrain, Manama 12, Manama, Bahrain
- Department of Microbiology, Irish Royal College of Surgeon, Bahrain, Busaiteen 15503, Muharraq, Bahrain
| | - Adel Salah Bediwy
- Department of Chest Disease, Faculty of Medicine, Tanta University, Tanta 31527, Alghrabia, Egypt
- Department of Chest Disease, University Medical Center, King Abdulla Medical City, Arabian Gulf University, Dr. Sulaiman Al Habib Medical Group, Manama 26671, Manama, Bahrain
| | - Reem Elbeltagi
- Department of Medicine, The Royal College of Surgeons in Ireland - Bahrain, Busiateen 15503, Muharraq, Bahrain
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12
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Castañeda J, Mathieu C, Aanstoot HJ, Arrieta A, Da Silva J, Shin J, Cohen O. Predictors of time in target glucose range in real-world users of the MiniMed 780G system. Diabetes Obes Metab 2022; 24:2212-2221. [PMID: 35791621 DOI: 10.1111/dom.14807] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/15/2022] [Accepted: 07/01/2022] [Indexed: 11/29/2022]
Abstract
AIM Automated insulin delivery systems have improved glycaemic control in people with type 1 diabetes mellitus. The analysis investigated predictors of improved sensor glucose time-in-range (TIR; 70-180 mg/dl) based on real-world use of the MiniMed 780G advanced hybrid closed-loop (AHCL) system. METHODS Data uploaded by MiniMed 780G system users from August 2020-July 2021 were analysed using univariate and multivariable models to identify baseline, demographic and system use characteristics associated with TIR after AHCL initiation (post-AHCL). System settings associated with improved TIR post-AHCL were identified and their impact on time below range (TBR, <70 mg/dl) post-AHCL was explored. RESULTS In total, 12 870 users were included, of which 2977 had baseline sensor glucose data. Baseline TIR and time in AHCL (defined as the percentage of time the system was in Auto-mode) were positively associated with TIR post-AHCL with larger values predicting greater mean TIR post-AHCL. Characteristics inversely associated with TIR post-AHCL included the percentage of daily basal insulin dose, daily autocorrection dose, number of daily AHCL exits triggered by the system and number of daily alarms, wherein larger values of these characteristics predicted lower mean TIR post-AHCL. System settings that predicted the largest mean TIR post-AHCL were active insulin time of 2 h and glucose target of 100 mg/dl. Active insulin time was not associated with TBR post-AHCL. CONCLUSION Modifiable factors, including optimized pump settings, can allow users to achieve glycaemic targets with >80% TIR. The findings from this analysis will potentially guide the optimal use of the MiniMed 780G system and facilitate meaningful improvements in safe glycaemic control.
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Affiliation(s)
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium
| | - Henk-Jan Aanstoot
- Diabeter, Center for Diabetes Care and Research, Rotterdam, The Netherlands
| | - Arcelia Arrieta
- Medtronic Bakken Research Center, Maastricht, The Netherlands
| | - Julien Da Silva
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| | - John Shin
- Medtronic, Northridge, California, USA
| | - Ohad Cohen
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
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13
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Grassi BA, Caramés B, Plaza-Plaza JC, Onetto MT, Moreno S, Sandoval T, Tapia N, Mena F, Revello A. Insulin settings and their association with time in range in patients with type 1 diabetes users of predictive low glucose suspend (PLGS) augmented insulin pumps in Santiago, Chile. J Diabetes Complications 2022; 36:108262. [PMID: 35842304 DOI: 10.1016/j.jdiacomp.2022.108262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 06/23/2022] [Accepted: 07/07/2022] [Indexed: 11/23/2022]
Abstract
AIMS Sensor augmented insulin pumps have become a powerful tool for managing type 1 diabetes (T1D). This study aimed to analyze the insulin pump configuration in users of predictive insulin suspension technology (PLGS). METHODS T1D patients on insulin pumps with PLGS (Medtronic 640G®) were enrolled. Data was obtained from medical records and pump data was downloaded for 30 days. Basal insulin, bolus calculator parameters, and PLGS operation parameters were analyzed and compared with Time in Range, Time Below Range, and Time Above Range. RESULTS 112 patients were included, with average TIR of 73,96 % and HbA1c 7,0 % and 25 months of follow-up. Basal insulin remained similar to initial doses, with an increase of 27 % for the Dawn phenomenon. The Carbohydrate ratio was slightly more aggressive. Insulin sensitivity was 17 % less stringent than initially programmed. No differences were observed in Time in Rage according to the number of basal, ratio, and sensitivity segments. Time of insulin suspension correlated directly with Time Bellow Range. CONCLUSIONS Patients with good metabolic control have basal insulin programming similar to their initiation doses with less aggressive sensitivity factors. Excessive suspension time determined by PLGS could be an expression of excess insulin and increased hypoglycemia risk.
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Affiliation(s)
- Bruno A Grassi
- Departamento de Nutrición, Diabetes y Metabolismo, Escuela de Medicina, Facultad de Medicina, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, Santiago, Chile.
| | - Belén Caramés
- Servicio de Farmacia, Hospital Clínico de la Pontificia Universidad Católica de Chile, Marcoleta 367, Santiago, Santiago, Chile
| | - José Cristian Plaza-Plaza
- Escuela de Química y Farmacia, Facultad de Química y de Farmacia, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, Macul, Chile
| | - María Teresa Onetto
- Departamento de Nutrición, Diabetes y Metabolismo, Escuela de Medicina, Facultad de Medicina, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, Santiago, Chile.
| | - Sebastian Moreno
- Complejo Asistencial Dr. Sótero del Río, Avenida Concha y Toro 3459, Puente Alto, Santiago, Chile
| | - Trinidad Sandoval
- Complejo Asistencial Dr. Sótero del Río, Avenida Concha y Toro 3459, Puente Alto, Santiago, Chile
| | - Nicole Tapia
- Departamento de Nutrición, Diabetes y Metabolismo, Escuela de Medicina, Facultad de Medicina, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, Santiago, Chile
| | - Francisca Mena
- Departamento de Nutrición, Diabetes y Metabolismo, Escuela de Medicina, Facultad de Medicina, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, Santiago, Chile; División de Pediatría-Programa Diabetes de niños y adolescentes, Departamento de Nutrición, Diabetes y Metabolismo, Escuela de Medicina, Facultad de Medicina, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, Santiago, Chile
| | - Alejandro Revello
- Complejo Asistencial Dr. Sótero del Río, Avenida Concha y Toro 3459, Puente Alto, Santiago, Chile
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14
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von dem Berge T, Remus K, Biester S, Reschke F, Klusmeier B, Adolph K, Holtdirk A, Thomas A, Kordonouri O, Danne T, Biester T. In-home use of a hybrid closed loop achieves time-in-range targets in preschoolers and school children: Results from a randomized, controlled, crossover trial. Diabetes Obes Metab 2022; 24:1319-1327. [PMID: 35373894 DOI: 10.1111/dom.14706] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/10/2022] [Accepted: 03/30/2022] [Indexed: 12/15/2022]
Abstract
AIM To obtain additional information on the incremental differences between using a sensor-augmented pump (SAP) without automated insulin delivery (AID), using it with predictive low-glucose management (PLGM) or as hybrid closed loop (HCL), in preschool and school children. METHODS We conducted a monocentric, randomized, controlled, two-phase crossover study in 38 children aged 2-6 and 7-14 years. The primary endpoint was the percentage of time in range (TIR) of 70-180 mg/dl. Other continuous glucose sensor metrics, HbA1c, patient-related outcomes (DISABKIDS questionnaire, Fear of Hypoglycaemia Survey) and safety events were also assessed. Results from 2 weeks of SAP, 8 weeks of PLGM and 8 weeks of HCL were compared using a paired t-test or Wilcoxon signed-rank test. RESULTS Overall, we found a high rate of TIR target (>70%) achievement with HCL in preschool (88%) and school children (50%), with average times in Auto Mode of 93% and 87%, respectively. Preschool children achieved a mean TIR of 73% ± 6% (+8% vs. SAP, +6% vs. PLGM) and school children 69% ± 8% (+15% vs. SAP and + 14% vs. PLGM). Overall, HbA1c improved from 7.4% ± 0.9% to 6.9% ± 0.5% (P = .0002). Diabetes burden and worries and fear of hypoglycaemia remained at low levels, without significant changes versus PLGM. No events of severe hypoglycaemia or diabetic ketoacidosis occurred. CONCLUSIONS Preschool children profit from AID at least as much as those aged 7 years and older. To ensure safe use and prescribing modalities, regulatory approval is also required for young children.
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Affiliation(s)
| | - Kerstin Remus
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Sarah Biester
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Felix Reschke
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | | | - Kerstin Adolph
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | | | | | - Olga Kordonouri
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Thomas Danne
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Torben Biester
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
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15
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Zhang P, Fonnesbeck C, Schmidt DC, White J, Kleinberg S, Mulvaney SA. Using Momentary Assessment and Machine Learning to Identify Barriers to Self-management in Type 1 Diabetes: Observational Study. JMIR Mhealth Uhealth 2022; 10:e21959. [PMID: 35238791 PMCID: PMC8931646 DOI: 10.2196/21959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 07/16/2021] [Accepted: 12/15/2021] [Indexed: 11/13/2022] Open
Abstract
Background For adolescents living with type 1 diabetes (T1D), completion of multiple daily self-management tasks, such as monitoring blood glucose and administering insulin, can be challenging because of psychosocial and contextual barriers. These barriers are hard to assess accurately and specifically by using traditional retrospective recall. Ecological momentary assessment (EMA) uses mobile technologies to assess the contexts, subjective experiences, and psychosocial processes that surround self-management decision-making in daily life. However, the rich data generated via EMA have not been frequently examined in T1D or integrated with machine learning analytic approaches. Objective The goal of this study is to develop a machine learning algorithm to predict the risk of missed self-management in young adults with T1D. To achieve this goal, we train and compare a number of machine learning models through a learned filtering architecture to explore the extent to which EMA data were associated with the completion of two self-management behaviors: mealtime self-monitoring of blood glucose (SMBG) and insulin administration. Methods We analyzed data from a randomized controlled pilot study using machine learning–based filtering architecture to investigate whether novel information related to contextual, psychosocial, and time-related factors (ie, time of day) relate to self-management. We combined EMA-collected contextual and insulin variables via the MyDay mobile app with Bluetooth blood glucose data to construct machine learning classifiers that predicted the 2 self-management behaviors of interest. Results With 1231 day-level SMBG frequency counts for 45 participants, demographic variables and time-related variables were able to predict whether daily SMBG was below the clinical threshold of 4 times a day. Using the 1869 data points derived from app-based EMA data of 31 participants, our learned filtering architecture method was able to infer nonadherence events with high accuracy and precision. Although the recall score is low, there is high confidence that the nonadherence events identified by the model are truly nonadherent. Conclusions Combining EMA data with machine learning methods showed promise in the relationship with risk for nonadherence. The next steps include collecting larger data sets that would more effectively power a classifier that can be deployed to infer individual behavior. Improvements in individual self-management insights, behavioral risk predictions, enhanced clinical decision-making, and just-in-time patient support in diabetes could result from this type of approach.
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Affiliation(s)
- Peng Zhang
- Department of Computer Science, School of Engineering, Vanderbilt University, Nashville, TN, United States
- Data Science Institute, Vanderbilt University, Nashville, TN, United States
| | | | - Douglas C Schmidt
- Department of Computer Science, School of Engineering, Vanderbilt University, Nashville, TN, United States
- Data Science Institute, Vanderbilt University, Nashville, TN, United States
| | - Jules White
- Department of Computer Science, School of Engineering, Vanderbilt University, Nashville, TN, United States
| | - Samantha Kleinberg
- Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, United States
| | - Shelagh A Mulvaney
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
- School of Nursing, Vanderbilt University, Nashville, TN, United States
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16
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von dem Berge T, Remus K, Biester S, Reschke F, Datz N, Danne T, Kordonouri O, Biester T. Erste Anwendungserfahrung eines neuen, Glukosesensor-unterstützten Pumpensystems mit vorausschauender Insulin-Abschaltung zum Hypoglykämieschutz bei pädiatrischen Patienten in Deutschland. DIABETOL STOFFWECHS 2022. [DOI: 10.1055/a-1720-8882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Zusammenfassung
Einleitung Die prädiktive Insulinabschaltung ist als System zur Prävention von Hypoglykämien in Deutschland etabliert (Smartguard). Seit 2020 ist in Deutschland ein zweites System verfügbar (Basal-IQ). Unterschiede betreffen eine nicht veränderbare prädiktive Abschaltgrenze von 80 mg/dl (vs. 50–90 mg/dl), eine Abschaltzeit von minimal 5 Minuten (vs. 30 Minuten) sowie die Festlegung der Wiedereinschaltung des Insulin bei einem höheren Wert als zuvor (vs. einem Abstand von 20 mg/dl über der Abschaltgrenze und höherer Prädiktion). Die Systeme wurden in einer Altersgruppe, die besonders von Unterzuckerungen bedroht ist, verglichen.
Methodik Pädiatrische Patienten (Alter 6–13 Jahre), mit Pumpen- und Sensorerfahrung (kein AID) wurde die Erprobung von Basal-IQ für eine Dauer von 3 Monaten angeboten. Betrachtet wurden die CGM-Parameter Zeit unter Zielbereich (TBR < 70mg/dl), im Zielbereich (TIR 70–180 mg/dl), glykämische Variabilität (Varianzkoeffizient CV%) und HbA1c. Patienten-bezogene Outcomes (PROʼs) wurden mit dem Diabskids-Elternfragebogen und einem Gerätefragebogen erfasst.
Ergebnisse Neun Teilnehmer (alle männlich, Mittelwerte: 9.7 Jahre, Diabetesdauer 6.1 Jahre, HbA1c 6.8%, Time in Range (TIR) 61.9%, Time below Range (TBR) 4.5%, mittlere Glukose (MW) 164 mg/dl, (CV) 40) wurden gefunden. Nach 3 Monaten konnten Verbesserungen der glykämischen Parameter beobachtet werden (HbA1c 6.5%, TIR 69.2%, TBR 2.8%, MW 159, CV 40; Kontrollen HbA1c 7.2%, TIR 64.9%, TBR 4.3%, MW 158, CV 39), die sich von einer zeitgleich mit Smartguard behandelten Kindern nicht unterschieden. Die Erfassung der PROʼs zeigte einen Rückgang der Diabetes- und Therapiebelastung, sowie eine Zufriedenheit mit dem System.
Diskussion Das neue System mit prädiktiver Abschaltung zeigte nach 3 Monaten eine Verbesserung der glykämischen Parameter und PROʼs. Ein statistischer Vergleich vorher/nachher ist aufgrund der geringen Patientenzahl nicht erfolgt, aber die Daten zeigen zumindest die Nichtunterlegenheit gegenüber dem Baseline-Zeitpunkt und den Daten, die aus einer Gruppe von Patienten mit kontinuierlicher Systemnutzung stammen. Somit stehen in Deutschland aktuell zwei verschiedene effiziente Systeme mit prädiktiver Insulinabschaltung für Kinder und Jugendliche mit Diabetes zur Verfügung, so dass diese nach fundierter Beratung auswählen können.
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Affiliation(s)
- Thekla von dem Berge
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Kerstin Remus
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Sarah Biester
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Felix Reschke
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Nicolin Datz
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Thomas Danne
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Olga Kordonouri
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Torben Biester
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
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17
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Tseretopoulou X, Viswanath V, Hartnell S, Ware J, Thankamony A, Webb EA, Hysted H, Ashford J, Hendriks E, Teoh Y, Williams RM. Safe and effective use of a hybrid closed-loop system from diagnosis in children under 18 months with type 1 diabetes. Pediatr Diabetes 2022; 23:90-97. [PMID: 34820972 DOI: 10.1111/pedi.13292] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 10/07/2021] [Accepted: 11/15/2021] [Indexed: 11/30/2022] Open
Abstract
The management of type 1 diabetes in infancy presents significant challenges. Hybrid closed loop systems have been shown to be effective in a research setting and are now available for clinical use. There are relatively little reported data regarding their safety and efficacy in a real world clinical setting. We report two cases of very young children diagnosed with type 1 diabetes at ages 18 (Case 1) and 7 months (Case 2), who were commenced on hybrid closed-loop insulin delivery using the CamAPS FX™ system from diagnosis. At diagnosis, total daily dose (TDD) was 6 and 3.3 units for Case 1 and 2, respectively. Closed loop was started during the inpatient stay and weekly follow up was provided via video call on discharge. Seven months from diagnosis, Case 1 has an HbA1C of 49 mmol/mol, 61% time in range (TIR, 3.9-10 mmol/L) with 2% time in hypoglycemia (<3.9 mmol/L) with no incidents of very low blood glucose (BG; <3 mmol/L, 54 mg/dL) over 6 months. Given the extremely small TDD of insulin in Case 2, we elected to use diluted insulin (insulin aspart injection, NovoLog, Novo Nordisk Inc., Plainsboro, NJ, Diluting Medium for NovoLog®). Six months from diagnosis, the estimated HbA1c is 50 mmol/mol, TIR 76% with 1% hypoglycemia and no incidents of very low BG (<3 mmol/L, 54 mg/dL) over 6 months. We conclude that the use hybrid closed-loop can be safe and effective from diagnosis in children under 2 years of age with type 1 diabetes.
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Affiliation(s)
- Xanthippi Tseretopoulou
- Department of Paediatric Endocrinology and Diabetes, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | - Vidya Viswanath
- Department of Paediatric Endocrinology and Diabetes, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | - Sara Hartnell
- Wolfson Diabetes and Endocrine Clinic, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Julia Ware
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.,Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Ajay Thankamony
- Department of Paediatric Endocrinology and Diabetes, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | - Emma A Webb
- Department of Paediatric Endocrinology and Diabetes, Norfolk and Norwich University Hospital, Norwich, UK.,Norwich Medical School, University of East Anglia, Norwich, UK
| | - Helen Hysted
- Department of Paediatric Endocrinology and Diabetes, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | - Jennifer Ashford
- Department of Paediatric Endocrinology and Diabetes, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | - Emile Hendriks
- Department of Paediatric Endocrinology and Diabetes, Cambridge University Hospitals NHS Trust, Cambridge, UK.,Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Yun Teoh
- Pharmacy Department, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | - Rachel M Williams
- Department of Paediatric Endocrinology and Diabetes, Cambridge University Hospitals NHS Trust, Cambridge, UK
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18
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Fukuda Y, Ishii A, Kamasaki H, Fusagawa S, Terada K, Igarashi L, Kobayashi M, Suzuki S, Tsugawa T. Long-term sensor-augmented pump therapy for neonatal diabetes mellitus: a case series. Clin Pediatr Endocrinol 2022; 31:178-184. [PMID: 35928380 PMCID: PMC9297173 DOI: 10.1297/cpe.2022-0005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 04/12/2022] [Indexed: 11/04/2022] Open
Abstract
Neonatal diabetes mellitus (NDM) is a rare metabolic disorder that is mainly present in
the first 6 months of life and necessitates insulin treatment. Sensor-augmented pump (SAP)
therapy has been widely used in children with type 1 diabetes mellitus, but its use in
patients with NDM is limited. We report three patients with NDM who received SAP therapy
using the MiniMed™ 640G system starting in the neonatal period. Two patients were treated
for 3 months, and one patient continued treatment up to an age of 22 mo. The MiniMed 640G
system can automatically suspend insulin delivery (SmartGuard™ Technology) to avoid
hypoglycemia when the sensor glucose level is predicted to approach the predefined
threshold. We suggest that SmartGuard Technology is particularly useful for infants in
whom hypoglycemia cannot be identified. The MiniMed 640G system automatically records the
trends of sensor glucose levels and the total daily dose of insulin, which can make the
management more accurate and reduce the family’s effort. SAP therapy for patients with NDM
automatically prevents severe hypoglycemia and is useful for long-term management;
however, attention should be paid to its application.
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Affiliation(s)
- Yuya Fukuda
- Department of Pediatrics, Steel Memorial Muroran Hospital, Muroran, Japan
| | - Akira Ishii
- Department of Pediatrics, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Hotaka Kamasaki
- Department of Pediatrics, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Shintaro Fusagawa
- Department of Pediatrics, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Kojiro Terada
- Department of Pediatrics, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Lisa Igarashi
- Department of Pediatrics, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Masaki Kobayashi
- Department of Pediatrics, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Shigeru Suzuki
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
| | - Takeshi Tsugawa
- Department of Pediatrics, Sapporo Medical University School of Medicine, Sapporo, Japan
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19
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Schierloh U, Aguayo GA, Schritz A, Fichelle M, De Melo Dias C, Vaillant MT, Cohen O, Gies I, de Beaufort C. Intermittent Scanning Glucose Monitoring or Predicted Low Suspend Pump Treatment: Does It Impact Time in Glucose Target and Treatment Preference? The QUEST Randomized Crossover Study. Front Endocrinol (Lausanne) 2022; 13:870916. [PMID: 35712259 PMCID: PMC9193969 DOI: 10.3389/fendo.2022.870916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/12/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE To compare glycemic control and treatment preference in children with type 1 diabetes (T1D) using sensor augmented pump (SAP) with predictive low glucose suspend (SmartGuard®) or pump with independent intermittent scanning continuous glucose monitoring (iscCGM, Freestyle libre ®). METHODS In this open label, cross-over study, children 6 to 14 years of age, treated with insulin pump for at least 6 months, were randomized to insulin pump and iscCGM (A) or SAP with SmartGuard® (B) for 5 weeks followed by 5 additional weeks. The difference in percentages of time in glucose target (TIT), (3.9 - 8.0 mmol/l), <3 mmol/l, > 8 and 10 mmol/l, were analyzed using linear mixed models during the final week of each arm and were measured by blinded CGM (IPro2®). RESULTS 31 children (15 girls) finished the study. With sensor compliance > 60%, no difference in TIT was found, TIT: A 37.86%; 95% CI [33.21; 42.51]; B 37.20%; 95% CI [32.59; 41.82]; < 3 mmol/l A 2.27% 95% CI [0.71; 3.84] B 1.42% 95% CI [-0.13; 2.97]; > 8 mmol/l A 0.60% 95% CI [0.56, 0.67]; B 0.63% [0.56; 0.70]. One year after the study all participants were on CGM compared to 80.7% prior to the study, with a shift of 13/25 participants from iscCGM to SAP. CONCLUSIONS In this study, no significant difference in glycemic control was found whether treated with SAP (SmartGuard®) or pump with iscCGM. The decision of all families to continue with CGM after the study suggests a positive impact, with preference for SmartGuard®. CLINICAL TRIAL REGISTRATION [clinicaltrials.gov], identifier NCT03103867.
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Affiliation(s)
- Ulrike Schierloh
- Department of Pediatric Diabetes and Endocrinology, Clinique Pédiatrique, Centre Hospitalier, Luxembourg City, Luxembourg
- *Correspondence: Ulrike Schierloh,
| | - Gloria A. Aguayo
- Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Anna Schritz
- Competence Center for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Muriel Fichelle
- Department of Pediatric Diabetes and Endocrinology, Clinique Pédiatrique, Centre Hospitalier, Luxembourg City, Luxembourg
| | - Cindy De Melo Dias
- Department of Pediatric Diabetes and Endocrinology, Clinique Pédiatrique, Centre Hospitalier, Luxembourg City, Luxembourg
| | - Michel T. Vaillant
- Competence Center for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Ohad Cohen
- Institute of Endocrinology, Sheba Medical Center, Tel Hashomer, Israel
| | - Inge Gies
- Pediatric Endocrinology, KidZ Health Castle, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - Carine de Beaufort
- Department of Pediatric Diabetes and Endocrinology, Clinique Pédiatrique, Centre Hospitalier, Luxembourg City, Luxembourg
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von dem Berge T, Biester S, Biester T, Buchmann AK, Datz N, Grosser U, Kapitzke K, Klusmeier B, Remus K, Reschke F, Tiedemann I, Weiskorn J, Würsig M, Thomas A, Kordonouri O, Danne T. Empfehlungen zur Diabetes-Behandlung mit automatischen Insulin-Dosierungssystemen. DIABETOL STOFFWECHS 2021. [DOI: 10.1055/a-1652-9011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
ZusammenfassungDas Prinzip der automatischen Insulindosierung, kurz „AID“ genannt, zeigt in Zulassungsstudien und Real-World-Erfahrungen ausgezeichnete Behandlungsergebnisse. Beim AID wird eine Insulinpumpe mit einem System zur kontinuierlichen Glukosemessung zusammengeschaltet, während ein Rechenprogramm, der sogenannte Algorithmus, die Steuerung der Insulingabe nach Bedarf übernimmt. Idealerweise wäre das System ein geschlossener Kreis, bei dem die Menschen mit Diabetes keine Eingabe mehr machen müssten. Jedoch sind bei den heute verfügbaren Systemen verschiedene Grundeinstellungen und Eingaben erforderlich (insbesondere von Kohlenhydratmengen der Mahlzeiten oder körperlicher Aktivität), die sich von den bisherigen Empfehlungen der sensorunterstützten Pumpentherapie in einzelnen Aspekten unterscheiden. So werden die traditionellen Konzepte von „Basal“ und „Bolus“ mit AID weniger nützlich, da der Algorithmus beide Arten der Insulinabgabe verwendet, um die Glukosewerte dem eingestellten Zielwert zu nähern. Daher sollte bei diesen Systemen statt der Erfassung von „Basal“ und „Bolus“, zwischen einer „nutzerinitiierten“ und einer „automatischen“ Insulindosis unterschieden werden. Gemeinsame Therapieprinzipien der verschiedenen AID-Systeme umfassen die passgenaue Einstellung des Kohlenhydratverhältnisses, die Bedeutung des Timings der vom Anwender initiierten Insulinbolusgaben vor der Mahlzeit, den korrekten Umgang mit einem verzögerten oder versäumten Mahlzeitenbolus, neue Prinzipien im Umgang mit Sport oder Alkoholgenuss sowie den rechtzeitigen Umstieg von AID zu manuellem Modus bei Auftreten erhöhter Ketonwerte. Das Team vom Diabetes-Zentrum AUF DER BULT in Hannover hat aus eigenen Studienerfahrungen und der zugrunde liegenden internationalen Literatur praktische Empfehlungen zur Anwendung und Schulung der gegenwärtig und demnächst in Deutschland kommerziell erhältlichen Systeme zusammengestellt. Für den Erfolg der AID-Behandlung scheint das richtige Erwartungsmanagement sowohl beim Behandlungsteam und als auch beim Anwender von großer Bedeutung zu sein.
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Affiliation(s)
- Thekla von dem Berge
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Sarah Biester
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Torben Biester
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Anne-Kathrin Buchmann
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Nicolin Datz
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Ute Grosser
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Kerstin Kapitzke
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Britta Klusmeier
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Kerstin Remus
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Felix Reschke
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Inken Tiedemann
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Jantje Weiskorn
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Martina Würsig
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | | | - Olga Kordonouri
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Thomas Danne
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
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Ziegler AG, Danne T, Daniel C, Bonifacio E. 100 Years of Insulin: Lifesaver, immune target, and potential remedy for prevention. MED 2021; 2:1120-1137. [PMID: 34993499 PMCID: PMC8730368 DOI: 10.1016/j.medj.2021.08.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
In this review, we bring our personal experiences to showcase insulin from its breakthrough discovery as a life-saving drug 100 years ago to its uncovering as the autoantigen and potential cause of type 1 diabetes and eventually as an opportunity to prevent autoimmune diabetes. The work covers the birth of insulin to treat patients, which is now 100 years ago, the development of human insulin, insulin analogues, devices, and the way into automated insulin delivery, the realization that insulin is the primary autoimmune target of type 1 diabetes in children, novel approaches of immunotherapy using insulin for immune tolerance induction, the possible limitations of insulin immunotherapy, and an outlook how modern vaccines could remove the need for another 100 years of insulin therapy.
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Affiliation(s)
- Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
- Forschergruppe Diabetes, Technical University Munich, at Klinikum rechts der Isar, Munich, Germany
- Lead Contact
| | - Thomas Danne
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus AUF DER BULT, 30173 Hannover, Germany
| | - Carolin Daniel
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
- Division of Clinical Pharmacology, Department of Medicine IV, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Ezio Bonifacio
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Germany
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Zhang J, Xu J, Lim J, Nolan JK, Lee H, Lee CH. Wearable Glucose Monitoring and Implantable Drug Delivery Systems for Diabetes Management. Adv Healthc Mater 2021; 10:e2100194. [PMID: 33930258 DOI: 10.1002/adhm.202100194] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/12/2021] [Indexed: 12/11/2022]
Abstract
The global cost of diabetes care exceeds $1 trillion each year with more than $327 billion being spent in the United States alone. Despite some of the advances in diabetes care including continuous glucose monitoring systems and insulin pumps, the technology associated with managing diabetes has largely remained unchanged over the past several decades. With the rise of wearable electronics and novel functional materials, the field is well-poised for the next generation of closed-loop diabetes care. Wearable glucose sensors implanted within diverse platforms including skin or on-tooth tattoos, skin-mounted patches, eyeglasses, contact lenses, fabrics, mouthguards, and pacifiers have enabled noninvasive, unobtrusive, and real-time analysis of glucose excursions in ambulatory care settings. These wearable glucose sensors can be integrated with implantable drug delivery systems, including an insulin pump, glucose responsive insulin release implant, and islets transplantation, to form self-regulating closed-loop systems. This review article encompasses the emerging trends and latest innovations of wearable glucose monitoring and implantable insulin delivery technologies for diabetes management with a focus on their advanced materials and construction. Perspectives on the current unmet challenges of these strategies are also discussed to motivate future technological development toward improved patient care in diabetes management.
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Affiliation(s)
- Jinyuan Zhang
- Weldon School of Biomedical Engineering Purdue University West Lafayette IN 47907 USA
| | - Jian Xu
- Weldon School of Biomedical Engineering Purdue University West Lafayette IN 47907 USA
| | - Jongcheon Lim
- Weldon School of Biomedical Engineering Purdue University West Lafayette IN 47907 USA
| | - James K. Nolan
- Weldon School of Biomedical Engineering Purdue University West Lafayette IN 47907 USA
| | - Hyowon Lee
- Weldon School of Biomedical Engineering Purdue University West Lafayette IN 47907 USA
| | - Chi Hwan Lee
- Weldon School of Biomedical Engineering Purdue University West Lafayette IN 47907 USA
- School of Mechanical Engineering School of Materials Engineering Purdue University West Lafayette IN 47907 USA
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Dos Santos TJ, Rodrigues TC, Puñales M, Arrais RF, Kopacek C. Newest Diabetes-Related Technologies for Pediatric Type 1 Diabetes and Its Impact on Routine Care: a Narrative Synthesis of the Literature. CURRENT PEDIATRICS REPORTS 2021; 9:142-153. [PMID: 34430071 PMCID: PMC8377456 DOI: 10.1007/s40124-021-00248-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/04/2021] [Indexed: 11/08/2022]
Abstract
Purpose of Review This review aims to address the actual state of the most advanced diabetes devices, as follows: continuous subcutaneous insulin infusions (CSII), continuous glucose monitoring systems (CGM), hybrid-closed loop (HCL) systems, and “Do-it-yourself” Artificial Pancreas Systems (DIYAPS) in children, adolescents, and young adults. This review has also the objective to assess the use of telemedicine for diabetes care across three different areas: education, social media, and daily care. Recent Findings Recent advances in diabetes technology after integration of CSII with CGM have increased the popularity of this treatment modality in pediatric age and shifted the standard diabetes management in many countries. We found an impressive transition from the use of CSII and/or CGM only to integrative devices with automated delivery systems. Although much has changed over the past 5 years, including a pandemic period that precipitated a broader use of telemedicine in diabetes care, some advances in technology may still be an additional burden of care for providers, patients, and caregivers. The extent of a higher rate of “auto-mode” use in diabetes devices while using the HCL/DIYAPS is essential to reduce the burden of diabetes treatment. Summary More studies including higher-risk populations are needed, and efforts should be taken to ensure proper access to cost-effective advanced technology on diabetes care. Supplementary Information The online version contains supplementary material available at 10.1007/s40124-021-00248-7.
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Affiliation(s)
- Tiago Jeronimo Dos Santos
- Pediatrics Unit, Vithas Almería, Instituto Hispalense de Pediatría, Almería Andalusia, Spain.,Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid/IdiPAZ, Madrid, Spain
| | - Ticiana Costa Rodrigues
- Post Graduate Program in Medical Sciences - Endocrinology, Universidade Federal Do Rio Grande Do Sul, Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande Do Sul Brazil.,Diabetes Division, Hospital Moinhos de Vento, Porto Alegre, Rio Grande Do Sul Brazil
| | - Marcia Puñales
- Institute for Children with Diabetes, Pediatric Endocrinology Unit, Hospital Nossa Senhora da Conceição, Porto Alegre, Rio Grande Do Sul Brazil
| | - Ricardo Fernando Arrais
- Department of Pediatrics, Pediatric Endocrinology Unit, Federal University of Rio Grande Do Norte, Natal, Rio Grande do Norte Brazil
| | - Cristiane Kopacek
- Department of Pediatrics, Post Graduate Program in Pediatrics, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Rio Grande do Sul Brazil
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Pinsker JE, Bartee A, Katz M, Lalonde A, Jones R, Dassau E, Wolpert H. Predictive Low-Glucose Suspend Necessitates Less Carbohydrate Supplementation to Rescue Hypoglycemia: Need to Revisit Current Hypoglycemia Treatment Guidelines. Diabetes Technol Ther 2021; 23:512-516. [PMID: 33535013 PMCID: PMC8252907 DOI: 10.1089/dia.2020.0619] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Current guidelines recommend 15-20 g of carbohydrate (CHO) for treatment of mild to moderate hypoglycemia. However, these guidelines do not account for reduced insulin during suspensions with predictive low-glucose suspend (PLGS). We assessed insulin suspensions, hypoglycemic events, and CHO treatment during a 20-h inpatient evaluation of an investigational system with a PLGS feature, including an overnight basal up-titration period to activate the PLGS. Among 10 adults with type 1 diabetes, there were 59 suspensions; 7 suspensions were associated with rescue CHO and 5 with hypoglycemia. Rescue treatment consisted of median 9 g CHO (range: 5-16 g), with no events requiring repeat CHO. No rescue CHO were given during or after insulin suspension for the overnight basal up-titration. To minimize rebound hyperglycemia and needless calorie intake from hypoglycemia overtreatment, updated guidance for PLGS systems should reflect possible need to reduce CHO amounts for hypoglycemia rescue associated with an insulin suspension. The clinical trial was registered with ClinicalTrials.gov (NCT03890003).
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Affiliation(s)
| | - Amy Bartee
- Eli Lilly and Company, Indianapolis, Indiana, USA
| | | | - Amy Lalonde
- Eli Lilly and Company, Indianapolis, Indiana, USA
| | | | - Eyal Dassau
- Eli Lilly and Company, Cambridge, Massachusetts, USA
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Ray MK, McMichael A, Rivera-Santana M, Noel J, Hershey T. Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies. JMIR Diabetes 2021; 6:e27027. [PMID: 34081017 PMCID: PMC8212634 DOI: 10.2196/27027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/26/2021] [Accepted: 04/03/2021] [Indexed: 11/13/2022] Open
Abstract
Type 1 diabetes (T1D) is one of the most common chronic childhood diseases, and its prevalence is rapidly increasing. The management of glucose in T1D is challenging, as youth must consider a myriad of factors when making diabetes care decisions. This task often leads to significant hyperglycemia, hypoglycemia, and glucose variability throughout the day, which have been associated with short- and long-term medical complications. At present, most of what is known about each of these complications and the health behaviors that may lead to them have been uncovered in the clinical setting or in laboratory-based research. However, the tools often used in these settings are limited in their ability to capture the dynamic behaviors, feelings, and physiological changes associated with T1D that fluctuate from moment to moment throughout the day. A better understanding of T1D in daily life could potentially aid in the development of interventions to improve diabetes care and mitigate the negative medical consequences associated with it. Therefore, there is a need to measure repeated, real-time, and real-world features of this disease in youth. This approach is known as ecological momentary assessment (EMA), and it has considerable advantages to in-lab research. Thus, this viewpoint aims to describe EMA tools that have been used to collect data in the daily lives of youth with T1D and discuss studies that explored the nuances of T1D in daily life using these methods. This viewpoint focuses on the following EMA methods: continuous glucose monitoring, actigraphy, ambulatory blood pressure monitoring, personal digital assistants, smartphones, and phone-based systems. The viewpoint also discusses the benefits of using EMA methods to collect important data that might not otherwise be collected in the laboratory and the limitations of each tool, future directions of the field, and possible clinical implications for their use.
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Affiliation(s)
- Mary Katherine Ray
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, United States
| | - Alana McMichael
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, United States
| | - Maria Rivera-Santana
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, United States
| | - Jacob Noel
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, United States
| | - Tamara Hershey
- Department of Psychiatry, Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States
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Grunberger G, Sherr J, Allende M, Blevins T, Bode B, Handelsman Y, Hellman R, Lajara R, Roberts VL, Rodbard D, Stec C, Unger J. American Association of Clinical Endocrinology Clinical Practice Guideline: The Use of Advanced Technology in the Management of Persons With Diabetes Mellitus. Endocr Pract 2021; 27:505-537. [PMID: 34116789 DOI: 10.1016/j.eprac.2021.04.008] [Citation(s) in RCA: 126] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 04/16/2021] [Accepted: 04/19/2021] [Indexed: 02/08/2023]
Abstract
OBJECTIVE To provide evidence-based recommendations regarding the use of advanced technology in the management of persons with diabetes mellitus to clinicians, diabetes-care teams, health care professionals, and other stakeholders. METHODS The American Association of Clinical Endocrinology (AACE) conducted literature searches for relevant articles published from 2012 to 2021. A task force of medical experts developed evidence-based guideline recommendations based on a review of clinical evidence, expertise, and informal consensus, according to established AACE protocol for guideline development. MAIN OUTCOME MEASURES Primary outcomes of interest included hemoglobin A1C, rates and severity of hypoglycemia, time in range, time above range, and time below range. RESULTS This guideline includes 37 evidence-based clinical practice recommendations for advanced diabetes technology and contains 357 citations that inform the evidence base. RECOMMENDATIONS Evidence-based recommendations were developed regarding the efficacy and safety of devices for the management of persons with diabetes mellitus, metrics used to aide with the assessment of advanced diabetes technology, and standards for the implementation of this technology. CONCLUSIONS Advanced diabetes technology can assist persons with diabetes to safely and effectively achieve glycemic targets, improve quality of life, add greater convenience, potentially reduce burden of care, and offer a personalized approach to self-management. Furthermore, diabetes technology can improve the efficiency and effectiveness of clinical decision-making. Successful integration of these technologies into care requires knowledge about the functionality of devices in this rapidly changing field. This information will allow health care professionals to provide necessary education and training to persons accessing these treatments and have the required expertise to interpret data and make appropriate treatment adjustments.
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Affiliation(s)
| | - Jennifer Sherr
- Yale University School of Medicine, New Haven, Connecticut
| | - Myriam Allende
- University of Puerto Rico School of Medicine, San Juan, Puerto Rico
| | | | - Bruce Bode
- Atlanta Diabetes Associates, Atlanta, Georgia
| | | | - Richard Hellman
- University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | | | | | - David Rodbard
- Biomedical Informatics Consultants, LLC, Potomac, Maryland
| | - Carla Stec
- American Association of Clinical Endocrinology, Jacksonville, Florida
| | - Jeff Unger
- Unger Primary Care Concierge Medical Group, Rancho Cucamonga, California
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Grassi B, Onetto MT, Zapata Y, Jofré P, Echeverría G. Lower versus standard sucrose dose for treating hypoglycemia in patients with type 1 diabetes mellitus in therapy with predictive low glucose suspend (PLGS) augmented insulin pumps: A randomized crossover trial in Santiago, Chile. Diabetes Metab Syndr 2021; 15:695-701. [PMID: 33813244 DOI: 10.1016/j.dsx.2021.03.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 03/17/2021] [Accepted: 03/18/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND AND AIMS Recommended hypoglycemia treatment in adults with T1D consists of 15 g of rapid absorption carbohydrates. We aimed to evaluate the response to fewer carbohydrates for treating hypoglycemia in patients with T1D on insulin pumps with predictive suspension technology (PLGS). METHODS T1D patients on insulin pumps with PLGS were randomized to receive 10 or 15 g of sucrose per hypoglycemia for two weeks (S10 and S15 groups, respectively) when capillary blood glucose (BG) was <70 mg/dL, with crossover after two weeks. Evolution of capillary BG, active insulin, and suspension time were assessed. RESULTS 59 hypoglycemic episodes were analyzed, 33 in S10 and 26 in S15. Baseline BG in S10 was 54.3 ± 7.7 mg/dL versus 56.9 ± 8.8 in S15 (p = 0,239). Active insulin, present in 85% of the episodes, and PLGS suspension time were similar between groups. BG at 15 min was 77 mg/dL in S10 and 95 mg/dL in S15 (p = 0.0007). In S10, 21% of the episodes required to repeat the treatment after 15 min compared with none on S15, with a RR of 0,79 (95% CI 0.66, 0.940, p = 0,014) for successfully treating the episode. Sensor glucose was significantly different from BG at the moment of the hypoglycemia and control 15 min after treatment. No severe hypoglycemia and no rebound hyperglycemia occurred in neither group. CONCLUSIONS A hypoglycemia treatment protocol with a lower dose of sucrose might be insufficient despite PLGS technology. Our data suggest that standard doses of sucrose should still be recommended.
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Affiliation(s)
- Bruno Grassi
- Departament of Nutrition, Diabetes and Metabolism, School of Medicine. Pontificia Universidad Católica de Chile, Santiago, Chile.
| | - María Teresa Onetto
- Departament of Nutrition, Diabetes and Metabolism, School of Medicine. Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Yazmín Zapata
- Departament of Nutrition, Diabetes and Metabolism, School of Medicine. Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Paulina Jofré
- Departament of Nutrition, Diabetes and Metabolism, School of Medicine. Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Guadalupe Echeverría
- Departament of Nutrition, Diabetes and Metabolism, School of Medicine. Pontificia Universidad Católica de Chile, Santiago, Chile; Center of Molecular Nutrition and Chronic Diseases. School of Medicine. Pontificia Universidad Católica de Chile, Santiago, Chile
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Gómez AM, Imitola A, Henao D, García-Jaramillo M, Giménez M, Viñals C, Grassi B, Torres M, Zuluaga I, Muñoz OM, Rondón M, León-Vargas F, Conget I. Factors associated with clinically significant hypoglycemia in patients with type 1 diabetes using sensor-augmented pump therapy with predictive low-glucose management: A multicentric study on iberoamerica. Diabetes Metab Syndr 2021; 15:267-272. [PMID: 33477103 DOI: 10.1016/j.dsx.2021.01.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 01/01/2021] [Accepted: 01/02/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND AIMS Despite using sensor-augmented pump therapy (SAPT) with predictive low-glucose management (PLGM), hypoglycemia is still an issue in patients with type 1 Diabetes (T1D). Our aim was to determine factors associated with clinically significant hypoglycemia (<54 mg/dl) in persons with T1D treated with PLGM-SAPT. METHOD ology: This is a multicentric prospective real-life study performed in Colombia, Chile and Spain. Patients with T1D treated with PLGM-SAPT, using sensor ≥70% of time, were included. Data regarding pump and sensor use patterns and carbohydrate intake from 28 consecutive days were collected. A bivariate and multivariate Poisson regression analysis was carried out, to evaluate the association between the number of events of <54 mg/dl with the clinical variables and patterns of sensor and pump use. RESULTS 188 subjects were included (41 ± 13.8 years-old, 23 ± 12 years disease duration, A1c 7.2% ± 0.9). The median of events <54 mg/dl was four events/patient/month (IQR 1-10), 77% of these events occurred during day time. Multivariate analysis showed that the number of events of hypoglycemia were higher in patients with previous severe hypoglycemia (IRR1.38; 95% CI 1.19-1.61; p < 0.001), high glycemic variability defined as Coefficient of Variation (CV%) > 36% (IRR 2.09; 95%CI 1.79-2.45; p < 0.001) and hypoglycemia unawareness. A protector effect was identified for adequate sensor calibration (IRR 0.77; 95%CI 0.66-0.90; p:0.001), and the use of bolus wizard >60% (IRR 0.74; 95%CI 0.58-0.95; p:0.017). CONCLUSION In spite of using advanced SAPT, clinically significant hypoglycemia is still a non-negligible risk. Only the identification and intervention of modifiable factors could help to prevent and reduce hypoglycemia in clinical practice.
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Affiliation(s)
- Ana M Gómez
- Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia; Hospital Universitario San Ignacio, Endocrinology Unit, Carrera 7 No. 40-62, Bogotá, Colombia.
| | - Angelica Imitola
- Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia; Hospital Universitario San Ignacio, Endocrinology Unit, Carrera 7 No. 40-62, Bogotá, Colombia.
| | - Diana Henao
- Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia; Hospital Universitario San Ignacio, Endocrinology Unit, Carrera 7 No. 40-62, Bogotá, Colombia.
| | | | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department, IDIBAPS (Institut D'investigacions Biomèdiques August Pi i Sunyer), CIBERDEM (Centro de Investigaciones Biomédicas en Red Sobre Diabetes y Enfermedades Metabólicas), Barcelona, Spain.
| | - Clara Viñals
- Diabetes Unit, Endocrinology and Nutrition Department, IDIBAPS (Institut D'investigacions Biomèdiques August Pi i Sunyer), CIBERDEM (Centro de Investigaciones Biomédicas en Red Sobre Diabetes y Enfermedades Metabólicas), Barcelona, Spain.
| | - Bruno Grassi
- Pontificia Universidad Católica de Chile, Chile.
| | - Mariana Torres
- Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia.
| | - Isabella Zuluaga
- Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia.
| | - Oscar Mauricio Muñoz
- Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia; Hospital Universitario San Ignacio, Department of Internal Medicine, Bogotá, Colombia; Department of Clinical Epidemiology and Biostatistics, Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia.
| | - Martin Rondón
- Department of Clinical Epidemiology and Biostatistics, Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia.
| | | | - Ignacio Conget
- Diabetes Unit, Endocrinology and Nutrition Department, IDIBAPS (Institut D'investigacions Biomèdiques August Pi i Sunyer), CIBERDEM (Centro de Investigaciones Biomédicas en Red Sobre Diabetes y Enfermedades Metabólicas), Barcelona, Spain.
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Charleer S, De Block C, Nobels F, Radermecker RP, Lowyck I, Mullens A, Scarnière D, Spincemaille K, Strivay M, Weber E, Taes Y, Vercammen C, Keymeulen B, Mathieu C, Gillard P. Sustained Impact of Real-time Continuous Glucose Monitoring in Adults With Type 1 Diabetes on Insulin Pump Therapy: Results After the 24-Month RESCUE Study. Diabetes Care 2020; 43:3016-3023. [PMID: 33067260 DOI: 10.2337/dc20-1531] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 09/16/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE In recent years, a growing number of people with type 1 diabetes gained access to real-time continuous glucose monitoring (rtCGM). Long-term benefits of rtCGM are unclear because of a lack of large studies of long duration. We evaluated whether real-world rtCGM use up to 24 months offered benefits, particularly in those living with impaired awareness of hypoglycemia (IAH). RESEARCH DESIGN AND METHODS This 24-month, prospective, observational cohort study followed 441 adults with insulin pumps receiving full reimbursement for rtCGM. Forty-two percent had IAH. The primary end point was evolution of HbA1c, with secondary end points change in acute hypoglycemia complications, diabetes-related work absenteeism, and quality of life scores. Additionally, we evaluated whether people could achieve glycemic consensus targets during follow-up. RESULTS After 24 months, HbA1c remained significantly lower compared with baseline (7.64% [60 mmol/mol] vs. 7.37% [57 mmol/mol], P < 0.0001). Sustained benefits were also observed for the score on the hypoglycemia fear survey and hypoglycemia-related acute complications irrespective of hypoglycemia awareness level. People with IAH had the strongest improvement, especially for severe hypoglycemia (862 events in the year before vs. 119 events per 100 patient-years in the 2nd year, P < 0.0001). Over 24 months, more people were able to meet hypoglycemia consensus targets at the expense of slightly fewer people achieving hyperglycemia consensus targets. Furthermore, the number of people with HbA1c <7% (<53 mmol/mol) without severe hypoglycemia events more than doubled (11.0% vs. 25.4%, P < 0.0001). CONCLUSIONS Use of rtCGM led to sustained improvements in hypoglycemia-related glucose control over 24 months. Lower fear of hypoglycemia, fewer acute hypoglycemia-related events, and fewer diabetes-related days off from work were observed, particularly in those with IAH.
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Affiliation(s)
- Sara Charleer
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Christophe De Block
- Department of Endocrinology, Diabetology and Metabolism, University of Antwerp-Antwerp University Hospital, Antwerp, Belgium
| | - Frank Nobels
- Department of Endocrinology, OLV Hospital Aalst, Aalst, Belgium
| | - Régis P Radermecker
- Department of Diabetes, Nutrition and Metabolic Disorders, CHU Liege-Liege University, Liege, Belgium
| | - Ine Lowyck
- Department of Endocrinology, Ziekenhuis Oost-Limburg, Genk, Belgium
| | | | - Denis Scarnière
- Department of Endocrinology-Diabetology, Grand Hôpital de Charleroi, Gilly, Belgium
| | | | - Marie Strivay
- Department of Endocrinology, CHR La Citadelle Liège, Liege, Belgium
| | - Eric Weber
- Department of Endocrinology, Cliniques du Sud Luxembourg-Vivalia, Arlon, Belgium
| | - Youri Taes
- Department of Endocrinology, AZ Sint-Jan Brugge AV, Bruges, Belgium
| | - Chris Vercammen
- Department of Endocrinology, Imelda Hospital Bonheiden, Bonheiden, Belgium
| | - Bart Keymeulen
- Diabetes clinic, University Hospital Brussels-VUB, Brussels, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
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Dovc K, Battelino T. Closed-loop insulin delivery systems in children and adolescents with type 1 diabetes. Expert Opin Drug Deliv 2020; 17:157-166. [PMID: 32077342 DOI: 10.1080/17425247.2020.1713747] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Introduction: Optimal glycemic control remains challenging in children and adolescents with type 1 diabetes due to highly variable day-to-day and night-to-night insulin requirements. This hurdle could be addressed by glucose-responsive insulin delivery based on real-time continuous glucose measurements.Areas covered: This review summaries recent advances of closed-loop systems in children and adolescents with type 1 diabetes, using both single- and dual-hormone closed-loop systems. The main outcomes, proportions of time spent in target range 70-180 mg/dl, and time spent in hypoglycemia below 70 mg/dl, are assessed particularly during unsupervised free-living randomized controlled trials.Expert opinion: Noteworthy and clinically meaningful translation of experimental investigations from controlled in-hospital settings to unrestricted home studies have been achieved over the past years, resulting in the regulatory approval of the first hybrid closed-loop system also in the pediatric population and with several other advanced devices in the pipeline. Large multinational and pivotal clinical trials including broad age populations are underway to facilitate the use of closed-loop systems in routine clinical practice.
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Affiliation(s)
- Klemen Dovc
- Department of Paediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children's Hospital, Ljubljana, Slovenia.,Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Tadej Battelino
- Department of Paediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children's Hospital, Ljubljana, Slovenia.,Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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Murray JA, Clayton MF, Litchman ML. Health Care Provider Knowledge and Perceptions of FDA-Approved and Do-It-Yourself Automated Insulin Delivery. J Diabetes Sci Technol 2020; 14:1017-1021. [PMID: 31876176 PMCID: PMC7645143 DOI: 10.1177/1932296819895567] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Automated insulin delivery (AID) technology may reduce variability in blood glucose, resulting in lower risk for hypoglycemia and associated complications, and by extension improve quality of life. While clinical trials, research, and patient experience have consistently demonstrated the value of AID, this technology is still inaccessible to many patients. Patient-driven innovation has resulted in alternative do-it-yourself (DIY) solutions to available off-the-shelf AID devices. METHOD This two-phase cross-sectional observational study addressed health care provider (HCP) perceptions of AID as well as the perceived need for, development of, and evaluation of an AID fact sheet comparing the most commonly used Federal Drug Administration approved AID and DIY AID devices. RESULTS Negative attitudes toward the use of DIY AID were low. The majority of HCPs saw their lack of knowledge about how DIY AID work to be the greatest barrier to answering patient questions about what is available (74.4%). Additionally, the majority of HCPs (64.5%) indicated they were either "likely" or "very likely" to use the fact sheet when answering patient questions about AID options. CONCLUSION Increased awareness and utilization of AID technology offer hope to further reduce the burden of diabetes, but there is a need to bridge the knowledge gap about DIY AID. A fact sheet provides a way to facilitate discussions of this emerging technology between HCPs and patients. Next steps could investigate additional ways to put needed information in the hands of HCPs.
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Affiliation(s)
- James A. Murray
- University of Utah College of Nursing, Salt Lake City, UT, USA
- James A. Murray, DNP, FNP-C, University of Utah College of Nursing, 10 2000 East Salt Lake City, UT 84112, USA.
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When Low Blood Sugars Cause High Anxiety: Fear of Hypoglycemia Among Parents of Youth With Type 1 Diabetes Mellitus. Can J Diabetes 2020; 45:403-410.e2. [PMID: 33046404 DOI: 10.1016/j.jcjd.2020.08.098] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 08/10/2020] [Accepted: 08/12/2020] [Indexed: 01/29/2023]
Abstract
OBJECTIVES Hypoglycemia is the most common acute complication of type 1 diabetes (T1D), and the potential short- and long-term sequelae can cause children and parents to develop significant fear of hypoglycemia (FOH). FOH and associated anxiety can be disruptive to activities of daily living and lead to reduced quality of life. We sought to determine the extent of FOH among parents of children with T1D within our clinic and to identify factors associated with greater FOH. METHODS Two hundred sixty-four parents of youth (2 to 18 years of age; mean ± standard deviation, 12.4±3.5 years) with T1D completed a survey that included demographic and disease-specific questions, the Spielberger State-Trait Anxiety Inventory and the Hypoglycemia Fear Survey---Parent version (HFS-P). RESULTS Of the 264 participants, 207 completed the full HFS-P, with a mean score of 67±19 (range, 31 to 119). The most frequent worries related to the child being hypoglycemic while alone or asleep. Higher HFS-P scores were also associated with more frequent and severe hypoglycemic episodes, higher state-trait anxiety scores, use of a continuous glucose monitor and more frequent blood glucose checks. Higher HFS-P scores were also associated with worse parental sleep quality and less parental engagement with treatment plans. CONCLUSIONS Parents of children with T1D experience FOH, especially during times of high vulnerability. Moreover, FOH could potentially impact clinical care (with parents being reluctant to administer suggested insulin doses) and quality of life (due to parental/child sleep disruption). Further studies are needed to develop and evaluate interventions aimed at reducing FOH in parents of youth with T1D.
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March CA, Nanni M, Kazmerski TM, Siminerio LM, Miller E, Libman IM. Modern diabetes devices in the school setting: Perspectives from school nurses. Pediatr Diabetes 2020; 21:832-840. [PMID: 32249474 PMCID: PMC7682111 DOI: 10.1111/pedi.13015] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 03/25/2020] [Accepted: 03/31/2020] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE To explore the experiences, practices, and attitudes of school nurses related to modern diabetes devices (insulin pumps, continuous glucose monitors, and hybrid-closed loop systems). RESEARCH DESIGN AND METHODS Semistructured interviews were conducted with 40 public school nurses caring for children in elementary and middle schools. Developed with stakeholder input, the interview questions explored experiences working with devices and communicating with the health care system. Deidentified transcripts were analyzed through an iterative process of coding to identify major themes. RESULTS School nurses reported a range of educational backgrounds (58% undergraduate, 42% graduate), geographic settings (20% urban, 55% suburban, 25% rural), and years of experience (20% <5 years, 38%, 5-15 years, 42% >15 years). Four major themes emerged: (a) As devices become more common, school nurses must quickly develop new knowledge and skills yet have inconsistent training opportunities; (b) Enthusiasm for devices is tempered by concerns about implementation due to poor planning prior to the school year and potential disruptions by remote monitors; (c) Barriers exist to integrating devices into schools, including school/classroom policies, liability/privacy concerns, and variable staff engagement; and (d) Collaboration between school nurses and providers is limited; better communication may benefit children with diabetes. CONCLUSIONS Devices are increasingly used by school-aged children. School nurses appreciate device potential but share structural and individual-level challenges. Guiding policy is needed as the technology progressively becomes standard of care. Enhanced training and collaboration with diabetes providers may help to optimize school-based management for children in the modern era.
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Affiliation(s)
- Christine A. March
- Division of Pediatric Endocrinology and Diabetes, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Michelle Nanni
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Traci M. Kazmerski
- Division of Adolescent and Young Adult Medicine, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Linda M. Siminerio
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Elizabeth Miller
- Division of Adolescent and Young Adult Medicine, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Ingrid M. Libman
- Division of Pediatric Endocrinology and Diabetes, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
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Kamiński M, Gawrecki A, Araszkiewicz A, Szadkowska A, Skowrońska B, Stankiewicz W, Michalak A, Cieluch A, Dżygało K, Seget S, Biegański G, Adamska A, Ksiądz K, Szymańska-Garbacz E, Flotyńska J, Zozulinska-Ziolkiewicz D. Nighttime Hypoglycemia in Children with Type 1 Diabetes after one Day of Football Tournament. Int J Sports Med 2020; 41:972-980. [PMID: 32634846 DOI: 10.1055/a-1192-5992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
The aim of the study was to investigate factors related to the occurrence of nighttime hypoglycemia after a football tournament in children with type 1 diabetes mellitus. The multicenter study (GoalDiab study) included 189 children and adolescents with type 1 diabetes mellitus, from 11 diabetes care centers in Poland. Hypoglycemia was defined according to the International Hypoglycemia Study Group Statement. We analyzed the data of 95 participants with completed protocols with regards to nighttime hypoglycemia (82% male), aged 11.6 (9.8-14.2) years, diabetes duration 5.0 (2.0-8.0) years. There were 47 episodes of nighttime Level 1 hypoglycemia (≤3.9 mmol/L). Occurrence of clinically important Level 2 hypoglycemia (<3.0 mmol/L) during a game period was positively associated with nighttime hypoglycemia (≤3.9 mmol/L) incident (Odds Ratio=10.7; 95% Confidence Interval: 1.1-100.2; p=0.04). Using Continuous Glucose Monitoring was negatively associated with the occurrence of nighttime hypoglycemia (≤3.9 mmol/L) compared with using glucose meters or Flash Glucose Monitoring (Odds Ratio=0.31; 95% Confidence Interval: 0.12-0.83; p=0.02). The occurrence of clinically important hypoglycemia related to physical activity is associated with the occurrence of hypoglycemia during the night. Continuous Glucose Monitoring is negatively associated with nighttime hypoglycemia after a day of competition.
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Affiliation(s)
- Mikołaj Kamiński
- Department of Internal Medicine and Diabetology, Poznan University of Medical Sciences, Poznan, Poland
| | - Andrzej Gawrecki
- Department of Internal Medicine and Diabetology, Poznan University of Medical Sciences, Poznan, Poland
| | - Aleksandra Araszkiewicz
- Department of Internal Medicine and Diabetology, Poznan University of Medical Sciences, Poznan, Poland
| | - Agnieszka Szadkowska
- Department of Pediatrics, Diabetology, Endocrinology and Nephrology, Medical University of Lodz, Lodz, Poland
| | - Bogda Skowrońska
- Department of Pediatric Diabetes and Obesity, Poznan University of Medical Sciences, Poznan, Poland
| | - Witold Stankiewicz
- Department of Pediatric Diabetes and Obesity, Poznan University of Medical Sciences, Poznan, Poland
| | - Arkadiusz Michalak
- Department of Pediatrics, Diabetology, Endocrinology and Nephrology, Medical University of Lodz, Lodz, Poland
| | - Aleksandra Cieluch
- Department of Internal Medicine and Diabetology, Poznan University of Medical Sciences, Poznan, Poland
| | - Katarzyna Dżygało
- Department of Pediatrics, Medical University of Warsaw, Warszawa, Poland
| | - Sebastian Seget
- Department of Children's Diabetology, Medical University of Silesia, Katowice, Poland
| | - Grzegorz Biegański
- Department of Infectious Diseases and Child Neurology, Poznan University of Medical Sciences, Poznan, Poland
| | - Anna Adamska
- Department of Internal Medicine and Diabetology, Poznan University of Medical Sciences, Poznan, Poland
| | - Katarzyna Ksiądz
- Department of Internal Medicine and Diabetology, Poznan University of Medical Sciences, Poznan, Poland
| | | | - Justyna Flotyńska
- Department of Internal Medicine and Diabetology, Poznan University of Medical Sciences, Poznan, Poland
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Tyler NS, Jacobs PG. Artificial Intelligence in Decision Support Systems for Type 1 Diabetes. SENSORS (BASEL, SWITZERLAND) 2020; 20:E3214. [PMID: 32517068 PMCID: PMC7308977 DOI: 10.3390/s20113214] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 05/29/2020] [Accepted: 06/02/2020] [Indexed: 12/16/2022]
Abstract
Type 1 diabetes (T1D) is a chronic health condition resulting from pancreatic beta cell dysfunction and insulin depletion. While automated insulin delivery systems are now available, many people choose to manage insulin delivery manually through insulin pumps or through multiple daily injections. Frequent insulin titrations are needed to adequately manage glucose, however, provider adjustments are typically made every several months. Recent automated decision support systems incorporate artificial intelligence algorithms to deliver personalized recommendations regarding insulin doses and daily behaviors. This paper presents a comprehensive review of computational and artificial intelligence-based decision support systems to manage T1D. Articles were obtained from PubMed, IEEE Xplore, and ScienceDirect databases. No time period restrictions were imposed on the search. After removing off-topic articles and duplicates, 562 articles were left to review. Of those articles, we identified 61 articles for comprehensive review based on algorithm evaluation using real-world human data, in silico trials, or clinical studies. We grouped decision support systems into general categories of (1) those which recommend adjustments to insulin and (2) those which predict and help avoid hypoglycemia. We review the artificial intelligence methods used for each type of decision support system, and discuss the performance and potential applications of these systems.
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Affiliation(s)
| | - Peter G. Jacobs
- Artificial Intelligence for Medical Systems Lab, Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA;
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37
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Kesavadev J, Saboo B, Krishna MB, Krishnan G. Evolution of Insulin Delivery Devices: From Syringes, Pens, and Pumps to DIY Artificial Pancreas. Diabetes Ther 2020; 11:1251-1269. [PMID: 32410184 PMCID: PMC7261311 DOI: 10.1007/s13300-020-00831-z] [Citation(s) in RCA: 85] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Indexed: 12/24/2022] Open
Abstract
The year 2021 will mark 100 years since the discovery of insulin. Insulin, the first medication to be discovered for diabetes, is still the safest and most potent glucose-lowering therapy. The major challenge of insulin despite its efficacy has been the occurrence of hypoglycemia, which has resulted in sub-optimal dosages being prescribed in the vast majority of patients. Popular devices used for insulin administration are syringes, pens, and pumps. An artificial pancreas (AP) with a closed-loop delivery system with > 95% time in range is believed to soon become a reality. The development of closed-loop delivery systems has gained momentum with recent advances in continuous glucose monitoring (CGM) and computer algorithms. This review discusses the evolution of syringes, disposable, durable pens and connected pens, needles, tethered and patch insulin pumps, bionic pancreas, alternate controller-enabled infusion (ACE) pumps, and do-it-yourself artificial pancreas systems (DIY-APS).
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Affiliation(s)
- Jothydev Kesavadev
- Jothydev's Diabetes Research Centre, Mudavanmugal, Thiruvananthapuram, Kerala, India.
| | | | - Meera B Krishna
- Jothydev's Diabetes Research Centre, Mudavanmugal, Thiruvananthapuram, Kerala, India
| | - Gopika Krishnan
- Jothydev's Diabetes Research Centre, Mudavanmugal, Thiruvananthapuram, Kerala, India
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Abstract
Optimal glycemic control remains challenging in individuals with type 1 diabetes. With the comprehensive clinical evidence on safety and efficiency, the adoption of continuous glucose monitoring (CGM), insulin pumps, and control algorithms merging the two into closed-loop systems is rapidly increasing. Particularly the CGM and intermittently scanned CGM improved diabetes management outcomes in large populations. A meaningful translation from clinical trials in highly controlled settings to numerous evaluations of closed-loop technology in the unrestricted home environment ended with its commercialization and use in routine clinical practice. Although it is still not a cure, the closed-loop currently seems to be the most promising advancement in the treatment of diabetes, with promising results also reported from routine clinical practice in children and adults with type 1 diabetes. We summarize different aspects of a technological approach to diabetes care, list currently available devices and systems in the pipeline, and the key supporting clinical evidence for their use. We consider human factors associated with technology use and the importance of health economics to support implementation and reimbursement.
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Affiliation(s)
- Klemen Dovc
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, Ljubljana, Slovenia.,Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Tadej Battelino
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, Ljubljana, Slovenia - .,Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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Vu L, Kefayati S, Idé T, Pavuluri V, Jackson G, Latts L, Zhong Y, Agrawal P, Chang YC. Predicting Nocturnal Hypoglycemia from Continuous Glucose Monitoring Data with Extended Prediction Horizon. AMIA ... ANNUAL SYMPOSIUM PROCEEDINGS. AMIA SYMPOSIUM 2020; 2019:874-882. [PMID: 32308884 PMCID: PMC7153099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Nocturnal hypoglycemia is a serious complication of insulin-treated diabetes, which commonly goes undetected. Continuous glucose monitoring (CGM) devices have enabled prediction of impending nocturnal hypoglycemia, however, prior efforts have been limited to a short prediction horizon (~ 30 minutes). To this end, a nocturnal hypoglycemia prediction model with a 6-hour horizon (midnight-6 am) was developed using a random forest machine- learning model based on data from 10,000 users with more than 1 million nights of CGM data. The model demonstrated an overall nighttime hypoglycemia prediction performance of ROC AUC = 0.84, with AUC = 0.90 for early night (midnight-3 am) and AUC = 0.75 for late night (prediction at midnight, looking at 3-6 am window). While instabilities and the absence of late-night blood glucose patterns introduce predictability challenges, this 6-hour horizon model demonstrates good performance in predicting nocturnal hypoglycemia. Additional study and specific patient-specific features will provide refinements that further ensure safe overnight management of glycemia.
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Affiliation(s)
- Long Vu
- IBM Research AI, Yorktown Heights, NY, USA
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Gaweł WB, Deja G, Kamińska H, Tabor A, Skała-Zamorowska E, Jarosz-Chobot P. How does a predictive low glucose suspend (PLGS) system tackle pediatric lifespan challenges in diabetes treatment? Real world data analysis. Pediatr Diabetes 2020; 21:280-287. [PMID: 31715059 DOI: 10.1111/pedi.12944] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Revised: 09/17/2019] [Accepted: 10/28/2019] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVES The aim of the study was to assess the benefits of a predictive low glucose suspend (PLGS) system in real-life in children and adolescents with type 1 diabetes of different age and age-related clinical challenges. METHODS Real life retrospective and descriptive analysis included 44 children (26 girls) with type 1 diabetes who were introduced to PLGS system. We divided them in three age groups: I (3-6 years old, n = 12), II (7-10 y/o, n = 16), III (11-19 y/o, n = 16). All children and their caregivers received unified training in self-management during PLGS therapy. Patients' data included: age, HbA1C levels, sex. While from the CGM metric, we obtained: time of sensor use (SENSuse), time in range (TiR): in, below and over target range and average blood glycemia (AVG), insulin suspension time (INSsusp). RESULTS SENSuse was 93% in total, with 92%, 94%, and 87% in age groups I, II, III, respectively. In total the reduction of mean HbA1C from 7.61% to 6.88% (P < .05), while for the I, II, and III it was 7.46% to 6.72%, 6.91% to 6.41%, and 8.46 to 7.44%, respectively (P < .05). Although we observed a significant reduction of HbA1C, the time below target range was minimal. Specific findings included: group I-longest INSsusp (17%), group II-lowest glycemic variability (CV) (36%), and group III-highest AVG (169 mg/dL). There was a reverse correlation between suspend before low and age (-0.32, P < .05). In group I CV reduced TiR in target range (TiRin) (-0.82, P < .05), in group II use of complex boluses increased TiRin (0.52, P < .05). In group III higher CV increased HbA1C (0.64, P < .05) while reducing TiRin (-0.72, P < .05). CONCLUSIONS PLGS is a suitable and safe therapeutic option for children with diabetes of all age and it is effective in addressing age-specific challenges. PLGS improves glycemic control in children of all age, positively affecting its different parameters.
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Affiliation(s)
- Władysław B Gaweł
- Students' Scientific Association at the Department of Children's Diabetology, Medical University of Silesia, Katowice, Poland
| | - Grażyna Deja
- Department of Children's Diabetology, Medical University of Silesia, Katowice, Poland
| | - Halla Kamińska
- Department of Children's Diabetology, Medical University of Silesia, Katowice, Poland
| | - Aleksandra Tabor
- Students' Scientific Association at the Department of Children's Diabetology, Medical University of Silesia, Katowice, Poland
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Tinti D, Rabbone I. Mini-doses of glucagon to prevent hypoglycemia in children with type 1 diabetes refusing food: a case series. Acta Diabetol 2020; 57:359-365. [PMID: 31673895 DOI: 10.1007/s00592-019-01443-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 10/22/2019] [Indexed: 12/27/2022]
Abstract
AIMS Hypoglycemia in small children with type 1 diabetes is difficult to manage if nausea, vomit or food refusal occurs. If oral carbohydrate cannot be used, there is a hypothetical risk of severe hypoglycemia. The present article describes the effect on glucose of small doses of subcutaneous glucagon to revert hypoglycemia and prevent severe events in small children with type 1 diabetes using a continuous glucose monitoring. METHODS We analyzed 4 episodes of impending or mild hypoglycemia in 3 children with type 1 diabetes who refused to eat carbohydrates. Using a standard U-100 insulin syringe, children received one "unit" (10 μg) of glucagon subcutaneously for every year of age up to 15 units (150 μg). If the blood glucose did not increase within 30 min, the initial dosage was repeated at that time. Instructions were given by phone from the physician. At the following visit data from continuous glucose monitoring devices, insulin pump and glucometer were downloaded and reviewed retrospectively from the physician. RESULTS Blood glucose from continuous glucose monitoring after one and 2 h was 127 ± 80 mg/dl and 165 ± 78 mg/dl, respectively. After a glucagon injection, there was a single recurrence of hypoglycemia, requiring another shot. The glucagon was well tolerated, except for nausea, present before the injection. None of the children were taken to our hospital because of concerns for hypoglycemia. CONCLUSION Mini-doses of glucagon given subcutaneously were effective and safe in preventing frank or impending hypoglycemia in type 1 diabetes children refusing food.
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Affiliation(s)
- Davide Tinti
- Department of Pediatrics, University of Turin, Piazza Polonia, 94, 10126, Turin, Italy
| | - Ivana Rabbone
- Department of Pediatrics, University of Turin, Piazza Polonia, 94, 10126, Turin, Italy.
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Abstract
Technological innovations have fundamentally changed diabetes care. Insulin pump use and continuous glucose monitoring are associated with improved glycemic control along with a better quality of life; automated insulin-dosing advisors facilitate and improve decision making. Glucose-responsive automated insulin delivery enables the highest targets for time in range, lowest rate and duration of hypoglycemia, and favorable quality of life. Clear targets for time in ranges and a standard visualization of the data will help the diabetes technology to be used more efficiently. Decision support systems within and integrated cloud environment will further simplify, unify, and improve modern routine diabetes care.
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Affiliation(s)
- Klemen Dovc
- Department of Paediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children's Hospital, University Medical Centre Ljubljana, Bohoriceva 20, Ljubljana SI-1000, Slovenia; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Tadej Battelino
- Department of Paediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children's Hospital, University Medical Centre Ljubljana, Bohoriceva 20, Ljubljana SI-1000, Slovenia; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
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Abraham MB, Smith GJ, Nicholas JA, Fairchild JM, King BR, Ambler GR, Cameron FJ, Davis EA, Jones TW. Effect of frequency of sensor use on glycaemic control in individuals on sensor-augmented pump therapy with and without Predictive Low Glucose Management System. Diabetes Res Clin Pract 2020; 159:107989. [PMID: 31866529 DOI: 10.1016/j.diabres.2019.107989] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 12/04/2019] [Accepted: 12/17/2019] [Indexed: 11/30/2022]
Abstract
Improved frequency of sensor use improves glycaemic control. Furthermore, there is no deterioration of glycaemic control with increased sensor use in individuals on Predictive Low Glucose Management (PLGM) system. Younger children are more likely to have better sensor uptake than older children.
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Affiliation(s)
- Mary B Abraham
- Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia; Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia; Division of Paediatrics, within the Medical School, The University of Western Australia, Perth, Australia.
| | - Grant J Smith
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia
| | - Jennifer A Nicholas
- Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia; Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia
| | - Janice M Fairchild
- Department of Endocrinology and Diabetes, Women's and Children's Hospital, Adelaide, Australia
| | - Bruce R King
- Department of Endocrinology and Diabetes, John Hunter Children's Hospital, Newcastle, Australia
| | - Geoffrey R Ambler
- Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead, The University of Sydney, Sydney, Australia
| | - Fergus J Cameron
- Department of Endocrinology and Diabetes, Royal Children's Hospital, Melbourne, Australia
| | - Elizabeth A Davis
- Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia; Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia; Division of Paediatrics, within the Medical School, The University of Western Australia, Perth, Australia
| | - Timothy W Jones
- Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia; Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia; Division of Paediatrics, within the Medical School, The University of Western Australia, Perth, Australia
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Li J, Ma X, Tobore I, Liu Y, Kandwal A, Wang L, Lu J, Lu W, Bao Y, Zhou J, Nie Z. A Novel CGM Metric-Gradient and Combining Mean Sensor Glucose Enable to Improve the Prediction of Nocturnal Hypoglycemic Events in Patients with Diabetes. J Diabetes Res 2020; 2020:8830774. [PMID: 33204733 PMCID: PMC7655247 DOI: 10.1155/2020/8830774] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 10/15/2020] [Accepted: 10/24/2020] [Indexed: 12/28/2022] Open
Abstract
Nocturnal hypoglycemia is a serious complication of insulin-treated diabetes, and it is often asymptomatic. A novel CGM metric-gradient was proposed in this paper, and a method of combining mean sensor glucose (MSG) and gradient was presented for the prediction of nocturnal hypoglycemia. For this purpose, the data from continuous glucose monitoring (CGM) encompassing 1,921 patients with diabetes were analyzed, and a total of 302 nocturnal hypoglycemic events were recorded. The MSG and gradient values were calculated, respectively, and then combined as a new metric (i.e., MSG+gradient). In addition, the prediction was conducted by four algorithms, namely, logistic regression, support vector machine, random forest, and long short-term memory. The results revealed that the gradient of CGM showed a downward trend before hypoglycemic events happened. Additionally, the results indicated that the specificity and sensitivity based on the proposed method were better than the conventional metrics of low blood glucose index (LBGI), coefficient of variation (CV), mean absolute glucose (MAG), lability index (LI), etc., and the complex metrics of MSG+LBGI, MSG+CV, MSG+MAG, and MSG+LI, etc. Specifically, the specificity and sensitivity were greater than 96.07% and 96.03% at the prediction horizon of 15 minutes and greater than 87.79% and 90.07% at the prediction horizon of 30 minutes when the proposed method was adopted to predict nocturnal hypoglycemic events in the aforementioned four algorithms. Therefore, the proposed method of combining MSG and gradient may enable to improve the prediction of nocturnal hypoglycemic events. Future studies are warranted to confirm the validity of this metric.
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Affiliation(s)
- Jingzhen Li
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Xiaojing Ma
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Igbe Tobore
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yuhang Liu
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Abhishek Kandwal
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Lei Wang
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Jingyi Lu
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Wei Lu
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Jian Zhou
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Zedong Nie
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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Urakami T. Severe Hypoglycemia: Is It Still a Threat for Children and Adolescents With Type 1 Diabetes? Front Endocrinol (Lausanne) 2020; 11:609. [PMID: 33042005 PMCID: PMC7523511 DOI: 10.3389/fendo.2020.00609] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 07/27/2020] [Indexed: 12/13/2022] Open
Abstract
Severe hypoglycemia is defined as a condition with serious cognitive dysfunction, such as a convulsion and coma, requiring external help from other persons. This condition is still lethal and is reported to be the cause of death in 4-10% in children and adolescents with type 1 diabetes. The incidence of severe hypoglycemia in the pediatric population was previously reported as high as more than 50-100 patient-years; however, there was a decline in the frequency of severe hypoglycemia during the past decades, and relationship with glycemic control became weaker than previously reported. A lot of studies have shown the neurological sequelae with severe hypoglycemia as cognitive dysfunction and abnormalities in brain structure. This serious condition also provides negative psychosocial outcomes and undesirable compensatory behaviors. Various possible factors, such as younger age, recurrent hypoglycemia, nocturnal hypoglycemia, and impaired awareness of hypoglycemia, are possible risk factors for developing severe hypoglycemia. A low HbA1c level is not a predictable value for severe hypoglycemia. Prevention of severe hypoglycemia remains one of the most critical issues in the management of pediatric patients with type 1 diabetes. Advanced technologies, such as continuous glucose monitoring (CGM), intermittently scanned CGM, and sensor-augmented pump therapy with low-glucose suspend system, potentially minimize the occurrence of severe hypoglycemia without worsening overall glycemic control. Hybrid closed-loop system must be the most promising tool for achieving optimal glycemic control with preventing the occurrence of severe hypoglycemia in pediatric patients with type 1 diabetes.
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47
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Assessment of Safety and Glycemic Control During Football Tournament in Children and Adolescents With Type 1 Diabetes-Results of GoalDiab Study. Pediatr Exerc Sci 2019; 31:401-407. [PMID: 30955442 DOI: 10.1123/pes.2018-0264] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 01/31/2019] [Accepted: 01/31/2019] [Indexed: 11/18/2022]
Abstract
PURPOSE To assess glycemic control and safety of children and adolescents with type 1 diabetes participating in a 2-day football tournament. METHODS In total, 189 children with type 1 diabetes from 11 diabetes care centers, in Poland, participated in a football tournament in 3 age categories: 7-9 (21.2%), 10-13 (42.9%), and 14-17 (36%) years. Participants were qualified and organized in 23 football teams, played 4 to 6 matches of 30 minutes, and were supervised by a medical team. Data on insulin dose and glycemia were downloaded from personal pumps, glucose meters, continuous glucose monitoring, and flash glucose monitoring systems. RESULTS The median level of blood glucose before the matches was 6.78 (4.89-9.39) mmol/L, and after the matches, it was 7.39 (5.5-9.87) mmol/L (P = .001). There were no episodes of severe hypoglycemia or ketoacidosis. The number of episodes of low glucose value (blood glucose ≤3.9 mmol/L) was higher during the tournament versus 30 days before: 1.2 (0-1.5) versus 0.7 (0.3-1.1) event/person/day, P < .001. Lactate levels increased during the matches (2.2 [1.6-4.0] mmol/L to 4.4 [2.6-8.5] mmol/L after the matches, P < .001). CONCLUSIONS Large football tournaments can be organized safely for children with type 1 diabetes. For the majority of children, moderate mixed aerobic-anaerobic effort did not adversely affect glycemic results and metabolic safety.
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Chen E, King F, Kohn MA, Spanakis EK, Breton M, Klonoff DC. A Review of Predictive Low Glucose Suspend and Its Effectiveness in Preventing Nocturnal Hypoglycemia. Diabetes Technol Ther 2019; 21:602-609. [PMID: 31335193 DOI: 10.1089/dia.2019.0119] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
To evaluate the effectiveness of predictive low glucose suspend (PLGS) systems within sensor-augmented insulin infusion pumps at preventing nocturnal hypoglycemia in patients with type 1 diabetes (DM1), we performed a systematic review and meta-analysis of randomized crossover trials. Pubmed and Google Scholar were searched for randomized crossover trials, published between January 2013 and July 2018, in nonpregnant outpatients with DM1, which compared event rates during PLGS overnight periods and non-PLGS overnight periods. The primary outcome was the proportion of overnight periods with one or more hypoglycemic measurement. When available, individual patient data were used to assess the effect of clustering measurements within patients. Four studies (272 patients, 10,735 patient-nights: 5422 PLGS and 5313 non-PLGS) were included in the meta-analysis. Two studies reported patient-level data that permitted assessment of the effect of clustering measurements within patients. The effect on the risk difference was minimal. The proportion of overnight periods with one or more episodes of hypoglycemia was 19.6% for the PLGS periods and 27.8% for the non-PLGS periods. Based on the pooled estimate, PLGS overnight periods were associated with an 8.8% lower risk of hypoglycemia (risk difference -0.088; 95% CI -0.119 to -0.056, I2 = 67.4%, τ2 = 0.0006, 4 studies). PLGS systems can reduce nocturnal hypoglycemic events in patients with DM1.
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Affiliation(s)
- Ethan Chen
- Diabetes Research Institute at Mills-Peninsula Medical Center, San Mateo, California
| | - Fraya King
- Diabetes Research Institute at Mills-Peninsula Medical Center, San Mateo, California
| | - Michael A Kohn
- Department of Epidemiology and Biostatistics, University of California, San Francisco School of Medicine, San Francisco, California
| | - Elias K Spanakis
- Division of Endocrinology, Baltimore Veterans Affairs Medical Center, Baltimore, Maryland
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland
| | - Marc Breton
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | - David C Klonoff
- Diabetes Research Institute at Mills-Peninsula Medical Center, San Mateo, California
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49
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Schütz-Fuhrmann I, Stadler M, Zlamal-Fortunat S, Rami-Merhar B, Fröhlich-Reiterer E, Hofer SE, Mader J, Resl M, Bischof M, Kautzky-Willer A, Weitgasser R. [Insulin pump therapy in children, adolescents and adults, guidelines (Update 2019)]. Wien Klin Wochenschr 2019; 131:47-53. [PMID: 30980146 DOI: 10.1007/s00508-019-1485-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
This position statement is based on current evidence available on the safety and benefits of continuous subcutaneous insulin infusion therapy (CSII, pump therapy) in diabetes with an emphasis on the effects of CSII on glycemic control, hypoglycaemia rates, occurrence of ketoacidosis, quality of life and the use of insulin pump therapy in pregnancy. The current article represents the recommendations of the Austrian Diabetes Association for the clinical praxis of insulin pump treatment in children, adolescents and adults.
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Affiliation(s)
- Ingrid Schütz-Fuhrmann
- 3. Medizinische Abteilung mit Stoffwechselerkrankungen und Nephrologie, Krankenhaus Hietzing, Wolkersbergenstraße 1, 1130, Wien, Österreich.
| | - Marietta Stadler
- Diabetes Research Group, King's College London, London, Großbritannien
| | - Sandra Zlamal-Fortunat
- Abteilung für Innere Medizin und Gastroenterologie, Klinikum Klagenfurt, Klagenfurt am Wörthersee, Österreich
| | - Birgit Rami-Merhar
- Universitätsklinik für Kinder- und Jugendheilkunde, Medizinische Universität Wien, Wien, Österreich
| | - Elke Fröhlich-Reiterer
- Universitätsklinik für Kinder- und Jugendheilkunde, Medizinische Universität Graz, Graz, Österreich
| | - Sabine E Hofer
- Department für Pädiatrie 1, Medizinische Universität Innsbruck, Innsbruck, Österreich
| | - Julia Mader
- Klinische Abteilung für Endokrinologie und Diabetologie, Universitätsklinik für Innere Medizin, Medizinische Universität Graz, Graz, Österreich
| | - Michael Resl
- Abteilung für Innere Medizin I, Konventhospital der Barmherzigen Brüder Linz, Linz, Österreich
| | | | - Alexandra Kautzky-Willer
- Gender Medicine Unit, Klinische Abteilung für Endokrinologie und Stoffwechsel, Universitätsklinik für Innere Medizin III, Medizinische Universität Wien, Wien, Österreich
| | - Raimund Weitgasser
- Abteilung für Innere Medizin, Privatklinik Wehrle-Diakonissen, Salzburg, Österreich.,Universitätsklinik für Innere Medizin I, LKH Salzburg - Universitätsklinikum der Paracelsus Medizinischen Privatuniversität, Salzburg, Österreich
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The hypoglycemia-prevention effect of sensor-augmented pump therapy with predictive low glucose management in Japanese patients with type 1 diabetes mellitus: a short-term study. Diabetol Int 2019; 11:97-104. [PMID: 32206479 DOI: 10.1007/s13340-019-00408-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 09/10/2019] [Indexed: 10/26/2022]
Abstract
Aims/introduction The predictive low glucose management (PLGM) system was introduced in March 2018 in Japan. Although there are some reports demonstrating the benefit of PLGM in preventing hypoglycemia, no data are currently available in Japanese patients with type 1 diabetes mellitus (T1DM). The aim of the present study is to evaluate the effect of PLGM with sensor-augmented pump therapy in the prevention of hypoglycemia in Japanese patients. Materials and methods We included 16 patients with T1DM who used the MiniMed®640G system after switching from the MiniMed®620G system. We retrospectively analysed the data of the continuous glucose monitoring system in 1 month after switching to MiniMed®640G. Results The area under the curve (AUC) of hypoglycemia of < 70 mg/dL was lowered from 0.42 ± 0.43 mg/dL day to 0.18 ± 0.18 mg/dL day (P = 0.012). Correspondingly, the duration of severe hypoglycemia (< 54 mg/dL) was reduced significantly from 15.3 ± 21.7 min/day to 4.8 ± 6.9 min/day (P = 0.019). The duration of hypoglycemia was reduced, but the reduction was not significant. Regarding the AUC for hyperglycemia > 180 mg/dL and the duration of hyperglycemia did not change. With the PLGM function, 79.3% of the predicted hypoglycemic events were avoided. Conclusions The hypoglycemia avoidance rate was comparable to those in previous reports. In addition, we demonstrated that PLGM can markedly suppress severe hypoglycemia without deteriorating glycemic control in Japanese T1DM patients. It is necessary to further investigate the effective use of the PLGM feature such as establishing a lower limit and the timing of resumption.
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